brycewang-stanford
980 verified skills1,032,306 total stars
md-to-pdf-academic
Convert Markdown to publication-quality PDF with LaTeX math rendering
testing1,685
tex-render-guide
Render LaTeX math expressions to images in PNG, JPEG, and SVG
documentation1,685
proofread
Run the proofreading protocol on academic writing — papers or manuscripts. Checks grammar, typos, layout issues, consistency, and academic writing quality. Produces a report without editing files. Make sure to use this skill whenever the user wants surface-level writing errors found — not substantive academic critique. Triggers include: "proofread", "check for typos", "grammar check", "look for errors in my draft", "proofread all", "polish this", "check my writing", "are there any mistakes", "proofread before I send this", or when the user wants a clean-up pass rather than feedback on arguments or methods.
testing1,685
abstract-writing-guide
Craft structured research abstracts that maximize clarity and journal acceptance
documentation1,685
tikz-diagrams-guide
Create publication-quality scientific diagrams with TikZ in LaTeX
testing1,685
math-typesetting-guide
LaTeX math typesetting, equation formatting, and cross-referencing
development1,685
overleaf-collaboration-guide
Guide to collaborative LaTeX editing with Overleaf
documentation1,685
latex-drawing-collection
LaTeX drawing examples for Bayesian networks, tensors, and diagrams
tools1,685
data-finder
Find and assess datasets for a research question. Dispatches Explorer agents to search across data source categories, then Explorer-Critic to stress-test each candidate. Produces a ranked list with feasibility grades. Make sure to use this skill whenever the user wants to identify or evaluate data sources — not to search for papers or run analysis. Triggers include: "find data", "what data should I use", "find a dataset for this", "where can I get data on X", "assess datasets", "what datasets exist for", "help me find data", "is there data on this", "what are my data options", "I need data for this project", or any request to locate empirical data sources for a research question.
development1,685
deep-audit
Deep consistency audit of the entire repository — launches 4 parallel specialist agents to find factual errors, code bugs, broken references, count mismatches, and cross-document inconsistencies, then fixes all issues and loops until clean. Make sure to use this skill whenever the user wants a comprehensive repository-wide check — not a targeted review of a single file. Triggers include: "audit", "deep audit", "find inconsistencies", "check everything", "run a full audit", "are there any broken references", "check the whole repo", "something feels off", "run the audit loop", or after making broad changes across multiple files.
development1,685
data-analysis
End-to-end data analysis workflow in R or Python — from exploration through regression to publication-ready tables and figures. Make sure to use this skill whenever the user wants to run any empirical analysis, write analysis code, or produce output from data. Triggers include: "analyze this data", "run a regression", "write R code for this", "write Python code for this", "I have a dataset", "help me with this regression", "run a DiD", "run an RDD", "event study", "IV regression", "fit a model", "produce a table", "make a figure", "explore my data", or any request involving a dataset path or empirical estimation.
development1,685
quality-gate
Verify that every quantitative claim in the paper is traceable to an analysis output file, and that no important output was omitted. Make sure to use this skill whenever the user wants to check that the paper and analysis are consistent before submission. Triggers include: "run the quality gate", "check the paper matches the analysis", "verify consistency", "does the paper match my results", "check my numbers", "are my tables right", "quality check before submission", "verify my claims", "make sure everything is consistent", "double-check the paper against my output files", or any pre-submission integrity check between paper text and computed results.
testing1,685
write-paper
Draft a full academic paper manuscript from analysis outputs, project spec, and lit review. Make sure to use this skill whenever the user wants to turn completed analysis into a written paper — not to run analysis or review existing writing. Triggers include: "write the paper", "draft the manuscript", "write up the results", "start the paper", "turn my results into a paper", "write the introduction", "draft the empirics section", "I have my results, now write the paper", "help me write this up", "write the abstract", or any request to produce academic prose from existing research outputs.
documentation1,685
bibliography-management-guide
Manage references with BibLaTeX, natbib, and LaTeX bibliography styles
documentation1,685
validate-bib
Validate bibliography entries against citations in all source files. Find missing entries and unused references. Make sure to use this skill whenever the user has any concern about bibliography completeness or citation keys. Triggers include: "validate my bib", "check my citations", "find missing references", "I'm getting undefined citation errors", "are all my citations in the bib file", "check for unused references", "my bibliography is broken", "missing bib entries", "citation not found", or after adding new references from a lit review or before submission.
testing1,685
lit-review
Structured literature review using a parallel fleet of Librarian agents. Searches top journals, working paper repositories (NBER, SSRN, IZA), and traces citation chains from key papers. Make sure to use this skill whenever the user wants to survey existing research on a topic — not to find datasets or write a paper. Triggers include: "review the literature", "find related papers", "what's been done on X", "search for papers on", "do a lit review", "find papers about", "what papers should I cite", "who has written about this", "survey the literature", "find prior work on", or any request to locate and summarize academic publications on a topic.
testing1,685
bayesian-workflow
Opinionated Bayesian modeling workflow with PyMC and ArviZ. Contains critical guardrails (nutpie sampler, prior/posterior predictive checks, LOO-PIT calibration, prior sensitivity checks, 94% HDI, non-centered parameterizations, reproducible seeds) that agents won't apply unprompted — always consult before writing Bayesian model code. Trigger on: building probabilistic/Bayesian models, prior elicitation, MCMC inference, convergence diagnostics (divergences, R-hat, ESS), model comparison (LOO-CV, ELPD, stacking weights), hierarchical/multilevel models, count regressions, logistic regression with uncertainty, prior sensitivity analysis, reporting Bayesian results, or mentions of PyMC, ArviZ, InferenceData, credible intervals, posterior distributions, shrinkage, uncertainty quantification. Also trigger for model comparison, diagnosing sampling problems, choosing priors, or presenting stats to non-technical audiences.
development1,685
review-r
Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files. Make sure to use this skill whenever the user wants their existing R code evaluated or audited — not when they want new analysis written. Triggers include: "review my R script", "check my R code", "is my code replication-ready", "audit this R file", "does this code follow conventions", "will this reproduce", "check my analysis script", "code review", "review-r", or when the user has an existing .R file and wants quality feedback rather than new code.
development1,685
research-setup
Interactive setup wizard that configures a new project for the social-science-research plugin. Asks the user questions about their field, institution, journals, datasets, key researchers, and R color palette, then writes the answers into references/domain-profile.md and CLAUDE.md. Make sure to use this skill first whenever a user is starting fresh or wants to configure the plugin. Triggers include: "set up my project", "configure the plugin", "run setup", "initialize this project", "I just installed the plugin", "set my field", "set my institution", "configure my domain profile", or any request to personalize the plugin for a specific research context.
tools1,685
zotero-gpt-guide
Guide to Zotero GPT for AI-powered research assistance within Zotero
documentation1,685
academic-writing-latex
LaTeX-based academic writing assistant for thesis and paper templates
research1,685
scientific-writing-wrapper
AI-powered scientific writing workflow from outline to polished draft
testing1,685
elegant-paper-template
Beautiful LaTeX template for working papers and technical reports
business1,685
zotero-better-bibtex-guide
Guide to Better BibTeX for Zotero for LaTeX and BibTeX workflows
documentation1,685
academic-tone-guide
Adjust writing tone and register for academic audiences and venues
documentation1,685
latex-skills
11 latex skills. Trigger: LaTeX typesetting, formatting papers, mathematical notation, Beamer. Design: template-based guides with package recommendations and compilation tips.
development1,685
humanize-chinese
Detect and humanize AI-generated Chinese text. 20+ rule detection categories plus statistical features (sentence-length CV, short-sentence fraction, comma density, perplexity, GLTR, DivEye) plus scene-aware LR fusion (rule × 0.2 + LR × 0.8) trained on three scenes: general / academic / longform 长文本 (≥1500 字)。Unified CLI: ./humanize {detect,rewrite,academic,style,compare}. 8 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary/weibo/novel)。 Multi-paragraph rewriting (paragraph length CV、跨段 trigram 重复) plus best-of-N humanize (默认 N=10 取最低 LR)。165 replacement patterns + CiLin 同义词词林 38873 with collision blacklist。 Academic paper AIGC reduction for CNKI/VIP/Wanfang (知网/维普/万方 AIGC 检测降重)。 Pure Python, no dependencies, offline。v5.0.0 — HC3 fused 准确率 95%、学术 hero 100→35 (-65)、 工作汇报 96→13 (-83)、长篇博客 96→41 (-55)。 Use when user says: "去AI味", "降AIGC", "人性化文本", "humanize chinese", "AI检测", "AIGC降重", "去除AI痕迹", "文本改写", "论文降重", "知网检测", "维普检测", "AI写作检测", "让文字更自然", "detect AI text", "humanize text", "reduce AIGC score", "make text human-like", "去ai化", "改成人话", "去机器味", "降低AI率", "过AIGC检测", "长文本改写", "小说改写"
tools1,685
polish-skills
9 editing & proofreading skills. Trigger: polishing drafts, academic tone, proofreading, translation. Design: style checkers and editing workflows for clear, concise academic English.
testing1,685
templates-skills
11 paper templates skills. Trigger: starting a new paper, formatting for submission, venue-specific layouts. Design: ready-to-use templates for arXiv preprint, conferences, thesis, and posters.
development1,685
graphical-abstract-guide
Create SVG graphical abstracts for journal paper submissions
documentation1,685
fletcher
Defamiliarization audit for empirical output. Systematically interrogates every feature of a figure, table, or set of results — not just the main finding. Named for Jason Fletcher, who asked about the spike at t=1 when everyone else was looking at t=2. Use when you have output and are about to interpret or report it.
testing1,685
stop-slop
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
data-ai1,685
zotero-reference-guide
PDF references add-on for enriching Zotero library metadata
development1,685
discussion-writing-guide
Write effective discussion sections that interpret results and impact
documentation1,685
zotero-scholar-guide
Save papers with metadata to Zotero via its API programmatically
development1,685
review-paper
Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections. Make sure to use this skill whenever the user wants substantive academic feedback on a paper — not just surface edits. Triggers include: "review my paper", "give me feedback on this draft", "what would a referee say", "anticipate referee objections", "act as a referee", "check my identification strategy", "is my argument convincing", "review this manuscript", "critique my paper", "will this pass review", or any request for deep critique of academic writing beyond typos and grammar.
testing1,685
zotfile-attachment-guide
Guide to ZotFile for Zotero attachment management, renaming, and syncing
testing1,685
zotero-better-notes-guide
Guide to Zotero Better Notes for comprehensive note-taking in research
documentation1,685
scientific-writing-resources
Curated tools and resources for effective scientific writing
tools1,685
introduction-writing-guide
Guide to writing effective research paper introductions
documentation1,685
composition-skills
11 academic writing skills. Trigger: writing paper sections, structuring arguments, academic prose. Design: section-by-section guides (abstract, intro, methods, discussion) with templates.
documentation1,685
ml-paper-writing
Write ML/AI research papers targeting NeurIPS, ICML, and ICLR venues
documentation1,685
response-to-reviewers
Write effective point-by-point responses to peer reviewer comments for revisions
documentation1,685
scientific-writing-guide
Curated tools and techniques for scientific writing beyond LaTeX
tools1,685
research-paper-writer
Guide for writing formal academic papers following IEEE and ACM standards
documentation1,685
thesis-template-guide
Set up LaTeX templates for PhD and Master's thesis documents
documentation1,685
plagiarism-detection-guide
Use plagiarism detection tools and ensure manuscript originality
tools1,685
arxiv-preprint-template
LaTeX template for arXiv preprints in NIPS/NeurIPS style format
development1,685
paper-polish-guide
Review and polish LaTeX research papers for clarity and style
documentation1,685
latex-templates-collection
Collection of LaTeX templates for papers, presentations, and CVs
content-media1,685
latex-ecosystem-guide
Comprehensive guide to LaTeX editors, packages, and typesetting workflows
documentation1,685
chinese-text-humanizer
Transform AI-generated Chinese text into natural academic writing style
data-ai1,685
conciseness-editing-guide
Eliminate wordiness and redundancy in academic prose for clarity
testing1,685
conference-paper-template
Templates and formatting guides for major academic conference submissions
development1,685
literature-review-writing
Structure and write comprehensive literature reviews for any field
documentation1,685
academic-writing-refiner
Checklist-driven academic English polishing and Chinglish correction
testing1,685
beamer-presentation-guide
Guide to creating academic presentations with LaTeX Beamer
documentation1,685
scientific-article-pdf
Generate publication-ready scientific article PDFs from templates
testing1,685
academic-translation-guide
Academic translation, post-editing, and Chinglish correction guide
documentation1,685
aer-introduction
Use when drafting or rewriting the introduction of an economics manuscript targeted at AER, AER:Insights, or an AEJ, or when compressing an abstract to the mandatory 100-word limit. Implements the Keith Head / Bellemare five-paragraph formula and AER-specific formatting conventions.
development1,685
chinese-de-aigc
面向中文学术论文的降 AIGC 检测率 Skill。针对知网、万方、维普、Turnitin 中文版的检测机制，识别并消除中文大语言模型的 17 类结构化写作痕迹。采用"定位 → 诊断 → 改写 → 自评 → 复查"五步闭环工作流，分章节差异化策略（摘要/引言/文献综述/方法/结果/讨论/结论），保持学术严谨性前提下通过检测。
data-ai1,685
thuthesis-guide
Write Tsinghua University theses using the ThuThesis LaTeX template
documentation1,685
aer-rebuttal
Use when responding to a Revise & Resubmit decision from AER, AER:Insights, or an AEJ, and a point-by-point response letter plus aligned manuscript revisions are needed. Handles triage, the concede / clarify / push-back decision, and the response-letter format that editors actually read.
development1,685
aer-robustness
Use when the main empirical results exist but the manuscript lacks the robustness, heterogeneity, mechanism, and placebo checks that AER referees will demand. Apply after aer-identification and before aer-introduction so that the value-added paragraph can reference these tests.
testing1,685
aer-tables-figures
Use when constructing or revising regression tables, descriptive statistics tables, or figures for an AER, AER:Insights, or AEJ manuscript. Implements AER booktabs house style, the standard regression-table layout, and the figure-notes convention.
tools1,685
aer-submission
Use when running the final pre-submission audit for an AER, AER:Insights, or AEJ manuscript — length, format, cover letter, per-author disclosure statements, file packaging, and routing among the AEA journal family. Apply immediately before clicking submit.
tools1,685
novathesis-guide
LaTeX thesis template supporting multiple universities and formats
development1,685
running-placebo-analysis
Performs placebo-in-time sensitivity analysis with hierarchical null model and optional Bayesian assurance. Use when checking model robustness, verifying lack of pre-intervention effects, or estimating study power.
testing1,685
aer-topic-selection
Use when evaluating whether a research idea clears the AER top-5 bar, when routing between AER, AER:Insights, and the AEJ family, or when sharpening a fuzzy contribution sentence into one publishable claim. Apply before any writing begins.
data-ai1,685
choosing-causalpy-methods
Choose the appropriate CausalPy experiment class from a causal question, data structure, treatment assignment, and identification assumptions. Use before writing analysis code when the method is not yet settled.
development1,685
thematic-analysis
Conduct rigorous thematic analysis (TA) of qualitative data following Braun and Clarke's (2006) six-phase framework. Use whenever the user mentions 'thematic analysis', 'TA', 'Braun and Clarke', 'qualitative coding', 'identifying themes', or asks for help analysing interviews, focus groups, open-ended survey responses, or transcripts to identify patterns. Also trigger for questions about inductive vs theoretical coding, semantic vs latent themes, essentialist vs constructionist epistemology, building a thematic map, or writing up a qualitative findings section. Covers all six phases, the four upfront analytic decisions, the 15-point quality checklist, and the five common pitfalls. Produces a Word document write-up and an annotated thematic map. Does NOT cover IPA, grounded theory, discourse analysis, conversation analysis, or narrative analysis — use a different method for those.
development1,685
running-causalpy-experiments
Fit, summarize, plot, and interpret a chosen CausalPy experiment. Use after the causal method has been selected, including when configuring PyMC/sklearn models and scale-aware custom priors.
data-ai1,685
ai-writing-humanizer
Remove AI-generated patterns to produce natural, authentic academic writing
data-ai1,685
aer-workflow
Use when deciding which AER-skills sub-skill to use next, or when sequencing manuscript work from topic selection through rebuttal for the American Economic Review, AER:Insights, or AEJ journals. Routes — does not replace — the specialized skills.
testing1,685
slr-prisma
Guide users through writing a systematic literature review (SLR) following the PRISMA 2020 framework. Use this skill whenever the user mentions 'systematic review', 'systematic literature review', 'SLR', 'PRISMA', 'PRISMA 2020', 'PRISMA flow diagram', 'PRISMA checklist', or asks for help writing, structuring, or auditing a literature review that follows reporting guidelines. Also trigger when the user asks about inclusion/exclusion criteria for a review, search strategies for databases like Scopus/WoS/PubMed, study selection processes, risk of bias assessment, or narrative synthesis for a review paper. This skill covers the full PRISMA 2020 checklist (27 items), produces a Word document manuscript in strict journal article format, generates an annotated PRISMA flow diagram, and enforces APA 7th Edition referencing throughout. It does NOT cover meta-analysis or statistical pooling. By Chuah Kee Man.
development1,685
grammar-checker-guide
Use grammar and style checking tools to polish academic manuscripts
tools1,685
latex-drawing-guide
TikZ and PGFPlots techniques for publication-quality scientific figures
testing1,685
methods-section-guide
Guide to writing clear and reproducible methodology sections
testing1,685
sjtuthesis-guide
Write SJTU theses using the SJTUThesis LaTeX template with full compliance
documentation1,685
zotero-mdnotes-guide
Export Zotero items and annotations to Markdown note files
documentation1,685
zotero-mcp-guide
Guide to Zotero MCP for connecting Zotero library with AI assistants
tools1,685
new-project
Start a new research project by conducting a structured interview to formalize a research idea, then generates research questions with identification strategies and a project spec. Make sure to use this skill whenever the user wants to develop or document a new research idea — not to search for literature or data. Triggers include: "new project", "start research", "I have an idea", "help me develop this", "I want to study X", "help me formalize this idea", "what's my research question", "what identification strategy should I use", "write up my project idea", or when the user describes a topic they want to turn into a paper.
development1,685
humanizer_academic
Remove signs of AI-generated writing from academic medical papers. Use when editing or reviewing manuscripts to make them sound more natural and professionally written. Based on Wikipedia's "Signs of AI writing" guide, adapted for medical literature. Detects and fixes patterns including: inflated significance claims, superficial -ing analyses, vague attributions, AI vocabulary words, copula avoidance, excessive hedging, generic conclusions, informal word choices (linked/beyond/via/where/yield), overly assertive causal claims, and artificially condensed expressions. Preserves legitimate academic transitions (Notably, Prior studies have shown, etc.).
testing1,685
avoid-ai-writing
Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Supports a detection-only mode that flags patterns without rewriting.
testing1,685
thesis-writing-guide
Templates, formatting rules, and strategies for thesis and dissertation writing
development1,685
referee2
Systematic audit and review by Referee 2. Two modes — "deck" reviews slide presentations for rhetoric, visual quality, and compile cleanliness; "code" performs cross-language replication and econometric audit of empirical pipelines. Use when reviewing slides, auditing code, or verifying replication.
development1,685
deslop
Remove AI writing patterns from prose. Use this skill when writing, drafting, editing, reviewing, or revising any text to eliminate predictable AI tells, slop, and formulaic patterns. Trigger this skill whenever the user asks to "deslop", "de-AI", "make it sound human," "remove AI patterns," "remove AI tropes," "clean up AI writing," fix "slop," "deslop" text, or review prose for authenticity. Also use when the user asks you to write or draft anything and wants it to sound natural rather than AI-generated. Common use cases include scientific writing (manuscripts, abstracts, cover letters, grant narratives, discussion sections, peer review responses), blog posts, newsletters, memos, reports, and any other substantial prose.
testing1,685
aer-identification
Use when selecting, implementing, or stress-testing the causal identification strategy for an empirical economics manuscript — difference-in-differences (including staggered designs), instrumental variables (including weak-IV-robust inference), regression discontinuity, synthetic control, or shift-share / Bartik. Apply before writing the introduction or results.
testing1,685
onecite-reference-guide
AI toolkit to parse, complete, and format academic references
tools1,661
scraping-skills
6 web scraping & data collection skills. Trigger: collecting web data, finding datasets, API access for research. Design: ethical scraping methods with rate limiting and data quality checks.
development1,661
obsidian-zotero-guide
Insert citations and notes from Zotero into Obsidian knowledge bases
testing1,661
latex-translation-guide
Translate LaTeX documents preserving math formulas and structure
documentation1,661
rebuttal-writing-guide
Write effective rebuttals to reviewer comments for journal submissions
documentation1,661
obsidian-citation-guide
Citation plugin for Obsidian note-taking with BibTeX support
tools1,661
papis-cli-guide
Guide to Papis command-line document and bibliography manager for researchers
tools1,661
papersgpt-zotero-guide
AI plugin for Zotero with ChatGPT, Claude, and DeepSeek support
tools1,661
zotero-api
Reference management library and collections API
development1,661
reference-manager-comparison
Compare Zotero, Mendeley, EndNote, and Paperpile for research use
research1,661
mendeley-api
Manage references and search Mendeley's catalog via REST API
development1,661
jasminum-zotero-guide
Guide to Jasminum for retrieving CNKI Chinese academic metadata in Zotero
documentation1,661
citation-style-guide
APA, MLA, Chicago citation format guide with CSL configuration
development1,661
google-scholar-scraper
Ethical Google Scholar data collection techniques and best practices
development1,661
citation-assistant-skill
Claude Code skill for citation workflow via OpenAlex and CrossRef
development1,661
jabref-reference-guide
Guide to JabRef open-source BibTeX and BibLaTeX reference manager
documentation1,661
academic-citation-manager
Manage academic citations across BibTeX, APA, MLA, and Chicago formats
development1,661
openspg-guide
Ant Group knowledge graph engine with SPG and KAG framework
development1,661
zotero-pdf-translate-guide
Guide to Zotero PDF Translate for multilingual PDF and annotation translation
documentation1,661
academic-web-scraping
Ethical web scraping and API-based data collection for research
development1,661
zotero-pdf2zh-guide
PDF Chinese translation plugin for Zotero reference manager
tools1,661
multilingual-research-guide
Strategies for translating academic papers while preserving technical accuracy
documentation1,661
easy-spider-guide
Guide to EasySpider for visual no-code web data collection
development1,661
latex-ocr-guide
Extract and convert mathematical formulas from images and PDFs to LaTeX code
development1,661
ocr-translate-skills
7 ocr & translation skills. Trigger: scanning documents, recognizing formulas, translating academic papers. Design: specialized OCR (LaTeX, handwriting) and translation for scholarly content.
testing1,661
zotero-markdb-connect-guide
Sync Zotero references to Obsidian and Logseq markdown
documentation1,661
osf-api-guide
Access Open Science Framework for preregistrations, preprints, and data
development1,661
notero-zotero-notion-guide
Sync Zotero references and annotations to Notion databases
documentation1,661
citation-network-builder
Build and analyze citation networks from academic reference data
development1,661
claude-scientific-guide
Ready-to-use agent skills for scientific research and engineering
testing1,661
docsgpt-guide
Deploy DocsGPT for private document analysis and research knowledge bases
devops1,661
zotero-night-theme-guide
Dark mode theme plugin for Zotero reference manager
tools1,661
graphiti-guide
Build real-time knowledge graphs for AI agents using Graphiti by Zep
development1,661
concept-map-generator
Generate structured concept maps from academic texts automatically
research1,661
zotero-style-guide
Feature-rich Zotero plugin for UI customization and styling
tools1,661
anystyle-api
Citation reference parser using machine learning
development1,661
pdf-extraction-guide
PDF parsing, text extraction, and document format conversion
development1,661
markdown-academic-guide
Write academic papers in Markdown with Pandoc for multi-format output
development1,661
paper-parse-guide
Deep dual-mode reading of academic papers from PDF or URL sources
documentation1,661
zotero-addon-market-guide
Plugin marketplace and discovery platform for Zotero
tools1,661
knowledge-graph-construction
Build research knowledge graphs for literature synthesis and RAG systems
development1,661
bibtex-management-guide
Clean, format, deduplicate, and manage BibTeX bibliography files for LaTeX
development1,661
citation-skills
22 citation management skills. Trigger: managing references, formatting citations, BibTeX, bibliographies. Design: reference manager integrations and citation style guides (APA, IEEE, etc.).
development1,661
web-scraping-ethics-guide
Scrape web data ethically and legally for research purposes
development1,661
repository-harvesting-guide
Harvest metadata from open repositories using OAI-PMH protocol
documentation1,661
dataset-finder-guide
Search and download research datasets from Kaggle, HuggingFace, and repos
documentation1,661
handwriting-recognition-guide
Apply handwriting OCR to digitize historical and archival documents
documentation1,661
pdf-math-translate-guide
Translate scientific PDFs with preserved math formatting via PDFMathTranslate
development1,661
rag-methodology-guide
RAG architecture for academic knowledge retrieval and synthesis
documentation1,661
ontology-design-guide
Design ontologies and knowledge graphs for research data modeling
documentation1,661
knowledge-graph-skills
9 knowledge graphs skills. Trigger: building knowledge graphs, connecting concepts, ontology design. Design: graph construction, traversal, and visualization for research knowledge.
development1,661
document-skills
10 document processing skills. Trigger: extracting text from PDFs, parsing references, document Q&A. Design: parsing pipelines (GROBID, marker) and structured extraction tools.
tools1,661
large-document-reader
Split and read long documents chapter-by-chapter for structured analysis
documentation1,661
grobid-pdf-parsing
Extract structured text, metadata, and references from academic PDFs
data-ai1,661
tldraw-whiteboard-guide
Guide to tldraw for infinite canvas whiteboarding and diagram creation
documentation1,661
scientific-illustration-guide
Create graphical abstracts, schematic diagrams, and scientific illustrations
testing1,661
plantuml-guide
Create UML diagrams and architecture visualizations with PlantUML
documentation1,661
mermaid-diagram-guide
Create flowcharts, sequence diagrams, and architecture diagrams with Mermaid
documentation1,661
kroki-diagram-api
Generate diagrams from text via Kroki's multi-format rendering API
development1,661
diagram-skills
9 diagrams & visuals skills. Trigger: creating diagrams, flowcharts, architecture visuals, LaTeX drawings. Design: tool-specific guides (Mermaid, Excalidraw, TikZ) with academic conventions.
tools1,661
json-data-visualizer
Guide to JSON Crack for visualizing complex JSON data structures
documentation1,661
excalidraw-diagram-guide
Generate hand-drawn style Excalidraw diagrams from text descriptions
documentation1,661
code-flow-visualizer
Convert Python, JavaScript, and TypeScript functions into Mermaid flowcharts
development1,661
sandbox-execution-guide
Secure sandboxed code execution environments for reproducible research computing
development1,661
r-reproducibility-guide
Create reproducible research workflows with R and RMarkdown/Quarto
testing1,661
python-reproducibility-guide
Reproducible Python environments, notebooks, and literate programming
development1,661
overleaf-cli-guide
Sync and manage Overleaf LaTeX projects from the command line
tools1,661
kaggle-api-guide
Download datasets, manage competitions and notebooks via Kaggle API
development1,661
code-exec-skills
7 code execution skills. Trigger: running code, interactive notebooks, Jupyter, Colab, sandboxed execution. Design: execution environment guides with setup instructions and best practices.
development1,661
jupyter-notebook-guide
Best practices for computational research notebooks with reproducible workflows
testing1,661
scientify-write-review-paper
Write literature reviews and survey papers from collected papers
testing1,661
review-response-guide
Craft effective point-by-point reviewer response letters
documentation1,661
google-colab-guide
Run and manage Google Colab notebooks for Python and ML research
development1,661
experimental-design-guide
Design rigorous experiments using DOE, factorial designs, and response surfaces
development1,661
action-research-guide
Design and conduct action research and participatory studies
testing1,661
grounded-theory-guide
Apply grounded theory methodology to develop theory from data
development1,661
grad-school-guide
Practical advice for thriving in PhD programs and academic research
documentation1,661
methodology-skills
13 research methodology skills. Trigger: study design, methodology selection, scientific reasoning, mentoring. Design: rigorous methods frameworks covering qualitative, quantitative, and mixed approaches.
development1,661
mermaid-architect-guide
Design complex multi-diagram architectures using advanced Mermaid syntax
documentation1,661
mixed-methods-guide
Guide to designing and conducting mixed methods research
documentation1,661
parsifal-slr-guide
Plan and manage systematic literature reviews with Parsifal platform
documentation1,661
qualitative-research-guide
Design and conduct qualitative research using grounded theory and case studies
documentation1,661
research-paper-kb
Build a persistent cross-session knowledge base from academic papers
development1,661
research-town-guide
Simulate human research communities with multi-agent AI collaboration
documentation1,661
scientify-idea-generation
Generate research ideas from collected papers with gap analysis
testing1,661
slr-automation-guide
Tools and pipelines for automating systematic literature reviews
tools1,661
automated-review-guide
AI-assisted peer review tools, workflows, and quality standards
tools1,661
latte-review-guide
Automate systematic literature reviews with LatteReview AI agents
documentation1,661
paper-critique-framework
Structured framework for writing peer review reports and paper critiques
development1,661
paper-review-skills
8 peer review skills. Trigger: reviewing manuscripts, comparing papers, quality assessment. Design: systematic review criteria, evaluation rubrics, and automated review tools.
tools1,661
paper-reading-assistant
AI-assisted paper reading, PDF Q&A, and summarization workflows
data-ai1,661
peer-review-guide
Conduct thorough, constructive peer reviews and evaluate research papers
documentation1,661
deep-literature-search
Multi-source exhaustive literature search across academic databases
data-ai1,556
crossref-api
Resolve DOIs and retrieve publication metadata from CrossRef registry
development1,556
crossref-event-data-api
Track scholarly mentions across the web via Crossref Event Data
development1,556
datacite-api
Resolve dataset DOIs and query research data metadata via DataCite
development1,556
doi-content-negotiation
Retrieve structured metadata from any DOI via HTTP content negotiation
development1,556
h-index-guide
Understanding and calculating research impact metrics
documentation1,556
doi-resolution-guide
DOI content negotiation and metadata retrieval techniques
development1,556
metadata-skills
24 metadata & bibliometrics skills. Trigger: DOI resolution, citation metrics, author disambiguation, bibliometrics. Design: metadata APIs and bibliometric analysis tools for scholarly records.
tools1,556
journal-metrics-guide
Understand journal impact factors, h5-index, CiteScore, and SJR
testing1,556
opencitations-api
Query open citation data and reference networks via OpenCitations
development1,556
orcid-api
Look up researcher profiles and academic identities via the ORCID registry
development1,556
orcid-integration-guide
Set up and leverage ORCID for researcher identification and profiles
testing1,556
orkg-api
Query the Open Research Knowledge Graph for structured research data
development1,556
plumx-metrics-api
Track research impact beyond citations via PlumX altmetrics API
development1,556
ror-organization-api
Identify and link research organizations via the ROR registry API
development1,556
sophosia-reference-guide
Reference manager with PDF viewer and Markdown note support
documentation1,556
viaf-authority-api
Disambiguate author identities via the VIAF authority file API
development1,556
wikidata-api-guide
Query Wikidata SPARQL for scholarly metadata, authors, and entities
development1,556
zoplicate-dedup-guide
Detect and manage duplicate items in Zotero libraries
documentation1,556
zotero-actions-tags-guide
Zotero workflow automation with custom actions and tags
tools1,556
zotmoov-guide
Zotero plugin for automatic attachment file organization
tools1,556
zutilo-guide
Zotero utility plugin for keyboard shortcuts and batch editing
tools1,556
arxiv-api
Search and retrieve preprints from the arXiv open-access repository
development1,556
arxiv-batch-reporting
Batch search and report generation from arXiv preprint repository
business1,556
arxiv-cli-tools
Command-line tools for searching and batch-downloading arXiv papers
tools1,556
arxiv-paper-processor
Process and analyze arXiv papers systematically for research workflows
research1,556
baidu-scholar-guide
Using Baidu Scholar for Chinese and English academic literature search
documentation1,556
base-academic-search
Search 400M+ open access documents via the BASE search engine API
development1,556
biorxiv-api
Preprint server API for biology and medicine papers
development1,556
boolean-search-guide
Master Boolean operators and advanced search syntax for academic databases
documentation1,556
chatpaper-guide
Use ChatPaper to summarize and search arXiv papers with LLM assistance
documentation1,556
citation-chaining-guide
Forward and backward citation chaining techniques for literature search
testing1,556
search-skills
31 database search skills. Trigger: finding papers, search strategies, querying academic databases. Design: one skill per database/tool with API details, query syntax, and rate limits.
tools1,556
citeseerx-api
Search computer science literature via the CiteSeerX digital library
development1,556
eric-education-api
Search 2M+ education research records via the ERIC database API
development1,556
database-comparison-guide
Compare major academic databases and when to use each for research
documentation1,556
europe-pmc-api
Search biomedical and life sciences literature via Europe PMC
development1,556
findpapers-guide
Search multiple academic databases simultaneously with Findpapers
documentation1,556
google-scholar-guide
Advanced Google Scholar search techniques for comprehensive literature discovery
development1,556
ieee-xplore-api
Search IEEE's 6M+ engineering and CS publications via the Xplore API
development1,556
lens-scholarly-api
Search 300M+ scholarly and patent records via the Lens.org API
development1,556
mesh-terms-guide
Navigate MeSH vocabulary for precise PubMed and MEDLINE searches
testing1,556
open-library-api
Search and access book metadata via the Open Library API
development1,556
open-semantic-search-guide
Self-hosted semantic search and text mining platform
documentation1,556
openaire-api
Search EU-funded research outputs via the OpenAIRE Graph API
development1,556
openalex-api
Query the OpenAlex catalog of scholarly works, authors, and institutions
development1,556
plos-open-access-api
Search PLOS open access journals with full-text Solr-powered API
development1,556
pubmed-api
Search biomedical literature and retrieve records via PubMed E-utilities
development1,556
scielo-api
Access Latin American and developing world research via SciELO API
development1,556
semantic-scholar-api
Search papers and analyze citation graphs via OpenAlex and CrossRef APIs
development1,556
share-research-api
Discover open access research outputs via the SHARE notification API
development1,556
systematic-search-strategy
Construct rigorous systematic search strategies for literature reviews
development1,556
worldcat-search-api
Search the world's largest library catalog via OCLC WorldCat API
development1,556
ai-scientist-v2-guide
Automated scientific discovery via agentic tree search by Sakana AI
testing1,556
aim-experiment-guide
Track and compare research experiments with Aim experiment tracker
documentation1,556
claude-academic-workflow-guide
Claude Code template for LaTeX, Beamer, and R research workflows
development1,556
data-collection-automation
Automate survey deployment, data collection, and pipeline management
tools1,556
kedro-pipeline-guide
Build reproducible data science pipelines with Kedro for research projects
development1,556
rd-agent-guide
Microsoft AI-driven R&D agent for automated data and model development
development1,556
research-workflow-automation
Automate repetitive research tasks with pipelines, schedulers, and scripting
tools1,556
auto-deep-research-guide
Automated deep research tool for thorough topic investigation
tools1,556
deep-searcher-guide
Open deep research alternative for private data with vector search
documentation1,556
gpt-researcher-guide
Autonomous agent for comprehensive deep research on any topic
documentation1,556
in-depth-research-guide
Structured methodology for conducting exhaustive multi-source investigations
documentation1,556
deep-research-skills
13 deep research & systematic reviews skills. Trigger: systematic reviews, multi-source synthesis, comprehensive literature surveys. Design: multi-step research protocols with quality assessment and evidence grading.
testing1,556
kosmos-scientist-guide
Claude Code-driven autonomous AI Scientist for discovery
development1,556
khoj-research-guide
AI second brain for deep research and personal knowledge management
documentation1,556
llm-scientific-discovery-guide
Survey of LLM agents for biomedical scientific discovery
testing1,556
local-deep-research-guide
Deep research agent searching 10+ sources with local or cloud LLMs
devops1,556
meta-synthesis-guide
Conduct qualitative meta-synthesis and evidence synthesis methods
documentation1,556
open-researcher-guide
Open pipeline for generating deep research trajectories with LLMs
devops1,556
scoping-review-guide
Scoping review methodology for broad evidence mapping
documentation1,556
systematic-review-guide
Systematic review methodology with PRISMA and evidence synthesis
documentation1,556
tongyi-deep-research-guide
Open-source deep research agent by Alibaba for scholarly research
documentation1,556
eu-horizon-guide
Navigate EU Horizon Europe funding programs and proposal writing
documentation1,556
figshare-api
Research data sharing and repository
development1,556
grant-budget-guide
Prepare and justify research grant budgets across funding agencies
testing1,556
funding-skills
9 grants & funding skills. Trigger: grant applications, funding search, budget planning, data repositories. Design: funder-specific guides with eligibility, submission requirements, and timelines.
testing1,556
grant-writing-guide
Write competitive research proposals with clear objectives and budgets
documentation1,556
nih-reporter-api-guide
Search NIH-funded grants and research projects via RePORTER API
development1,556
nsf-award-api-guide
Search NSF awards and grants with free public API, no auth required
development1,556
paper-to-agent-guide
Transform research papers into interactive AI agents for exploration
documentation1,556
nsf-grant-guide
Navigate NSF grant applications, program selection, and strategies
documentation1,556
open-science-guide
Pre-registration, open data, and FAIR principles for research
testing1,556
zenodo-api
Open research repository for all disciplines
development1,556
mle-agent-guide
Intelligent companion for ML engineering with arXiv integration
documentation1,556
datagen-research-guide
AI-driven multi-agent research assistant for end-to-end studies
documentation1,556
automation-skills
10 research automation skills. Trigger: automating experiments, tracking results, reproducible pipelines. Design: ML experiment management, workflow orchestration, and lab automation tools.
tools1,556
altmetrics-guide
Guide to altmetrics and research impact beyond traditional citations
testing1,556
bibliometrix-guide
Perform science mapping and bibliometric analysis with R bibliometrix
testing1,556
citation-network-guide
Analyze citation networks, impact metrics, and bibliometric patterns
testing1,556
academic-paper-summarizer
Summarize academic papers with structured extraction of key elements
research1,556
topology-data-analysis
Topological data analysis: persistent homology, Mapper, and TDA tools
tools1,312
semantic-paper-radar
Semantic literature discovery and synthesis using embeddings
data-ai1,312
rss-paper-feeds
Set up RSS feeds and alerts to track new publications in your research area
research1,312
papers-we-love-guide
Community-curated directory of influential CS research papers
documentation1,312
paper-recommendation-guide
Systematic paper recommendation and discovery using multiple methods
documentation1,312
discovery-skills
9 paper discovery skills. Trigger: finding new relevant papers, tracking citations, staying current. Design: automated monitoring, recommendation engines, and alert setup guides.
testing1,312
conference-proceedings-guide
Find, access, and cite conference papers and proceedings effectively
testing1,312
citation-alert-guide
Set up citation alerts and track new papers citing key references
testing1,312
literature-mapping-guide
Visual literature mapping and connected papers exploration
documentation1,312
survey-research-guide
Design, deploy, and analyze surveys for social science and organizational res...
testing1,312
sociology-research-methods
Sociological research methods from observation to quantitative analysis
testing1,312
social-research-methods
Core methods for empirical social science research including surveys and expe...
testing1,312
psychology-research-guide
Psychological research methods, experimental design, and analysis
documentation1,312
social-science-skills
6 social science skills. Trigger: survey research, social networks, psychology, behavioral studies. Design: quantitative and qualitative methods for social science research.
testing1,312
network-analysis-guide
Social network analysis methods, metrics, and visualization tools
tools1,312
ipums-microdata-api
Access harmonized census and survey microdata via the IPUMS API
development1,312
quantum-computing-guide
Explore quantum computing research with Qiskit and Cirq frameworks
development1,312
lean-theorem-proving-guide
LLM agent for formal theorem proving in Lean 4
documentation1,312
particle-physics-guide
Particle physics data analysis with ROOT, HEPData, and event processing
documentation1,312
nasa-ads-api
Search astrophysics and physics literature via NASA ADS bibliographic database
development1,312
math-skills
6 mathematics skills. Trigger: mathematical proofs, theorem proving, numerical methods, linear algebra. Design: formal verification tools and computational mathematics guides.
tools1,312
uk-legislation-api
Access UK laws and statutory instruments via the Legislation.gov.uk API
development1,312
opencontracts-guide
Legal document annotation, versioning, and analysis platform
documentation1,312
legal-research-guide
Legal research methods, case law analysis, and compliance tools
tools1,312
law-skills
9 legal research skills. Trigger: legal research, case law analysis, regulatory compliance. Design: legal databases, citation networks, and judicial analytics tools.
tools1,312
legal-agent-skills-guide
Agent skills collection for legal research and automation
tools1,312
courtlistener-api
Legal case law database with PACER data and judge profiles
development1,312
legal-nlp-guide
NLP techniques for legal text analysis, case law mining, and contracts
documentation1,312
caselaw-access-api
Query 360+ years of US case law via the Harvard Caselaw Access Project
development1,312
political-history-guide
Chinese and European political struggle history and comparative analysis
documentation1,312
philosophy-research-guide
Research methods and analytical frameworks for philosophical inquiry and scho...
development1,312
history-research-guide
Historical research from primary sources to scholarly analysis
documentation1,312
regulatory-compliance-guide
Regulatory text mining, compliance research, and policy analysis tools
tools1,312
humanities-skills
5 humanities skills. Trigger: textual analysis, archival research, digital humanities, philosophy. Design: digital tools and qualitative methods for humanities scholarship.
tools1,312
ethical-philosophy-guide
Applied ethics research methods and major ethical frameworks
development1,312
digital-humanities-guide
Computational methods for humanities research including text mining and netwo...
documentation1,312
seismology-data-guide
Earthquake data analysis, seismogram processing, and seismic research
documentation1,312
satellite-remote-sensing
Satellite imagery analysis and remote sensing for earth science research
testing1,312
pangaea-data-api
Access earth and environmental science datasets via PANGAEA API
development1,312
gis-remote-sensing-guide
GIS analysis and remote sensing workflows for geospatial research applications
documentation1,312
geoscience-skills
6 geoscience & climate skills. Trigger: earth science data, GIS, remote sensing, climate modeling. Design: geospatial tools, satellite data processing, and environmental models.
tools1,312
climate-science-guide
Climate data analysis, modeling workflows, and carbon neutrality research met...
tools1,312
climate-modeling-guide
Climate simulation, modeling tools, and climate data analysis methods
tools1,312
stata-accounting-research
STATA code patterns for empirical accounting and finance research
development1,312
risk-modeling-guide
Financial risk modeling including VaR, stress testing, and credit risk
testing1,312
quantitative-finance-guide
Quantitative methods for financial modeling, derivatives pricing, and risk an...
testing1,312
portfolio-optimization-guide
Portfolio theory, optimization algorithms, and asset allocation methods
development1,312
options-analytics-agent-guide
AI agent for options pricing, Greeks, and strategy analysis
testing1,312
finance-skills
8 finance skills. Trigger: financial modeling, market data, risk analysis, quantitative finance. Design: data sources, quantitative methods, and regulatory frameworks.
development1,312
finsight-research-guide
Deep financial research with the FinSight multi-agent system
testing1,312
akshare-finance-data
Access Chinese and global financial data using the AkShare Python library
development1,312
open-syllabus-api
Analyze most-taught books and texts via Open Syllabus analytics
development1,312
academic-study-methods
Evidence-based study techniques for academic learning and retention
research1,312
learning-science-guide
Evidence-based learning science principles for educational research and practice
testing1,312
assessment-design-guide
Psychometrics and educational assessment design for researchers
documentation1,312
mooc-analytics-guide
Analyzing MOOC data, learning analytics, and online education metrics
documentation1,312
educational-research-methods
Quantitative and qualitative research methods for education studies
research1,312
education-skills
7 education research skills. Trigger: pedagogical research, course design, learning analytics, assessment. Design: evidence-based teaching methods and educational measurement tools.
tools1,312
curriculum-design-guide
Systematic approaches to curriculum design using backward design and alignment
documentation1,312
physics-skills
5 physics & astrophysics skills. Trigger: physics simulations, astronomical data, computational physics. Design: domain databases (NASA ADS, arXiv) and simulation tool guides.
tools1,312
computational-physics-guide
Computational physics methods, simulations, and research tools
tools1,312
astrophysics-data-guide
Astronomical data processing with Astropy, FITS files, and sky surveys
documentation1,312
pharmacovigilance-guide
Adverse drug event detection, safety signal mining, and drug monitoring
documentation1,312
madd-drug-discovery-guide
Multi-agent system for automated drug discovery pipelines
devops1,312
drug-target-interaction
Computational drug-target interaction prediction and virtual screening
tools1,312
drug-development-guide
End-to-end drug development pipeline from target identification to regulatory...
development1,312
pharma-skills
6 pharmaceutical research skills. Trigger: drug discovery, pharmacology, clinical trial design, regulatory filing. Design: end-to-end pipeline from target identification to clinical trials.
tools1,312
clinical-pharmacology-guide
Clinical pharmacology principles for dosing, drug interactions, and patient s...
tools1,312
financial-data-analysis
Methods for acquiring, cleaning, and analyzing financial datasets for research
testing1,312
linear-algebra-applications
Apply linear algebra concepts to research computing and data analysis
data-ai1,312
numerical-methods-guide
Apply numerical methods and scientific computing techniques
testing1,312
fulltext-skills
16 full-text access skills. Trigger: accessing paper PDFs, bulk downloading, open access, text mining. Design: legal full-text retrieval from open repositories, archives, and preprint servers.
content-media1,312
symbolic-computation-guide
Computer algebra systems: SymPy, SageMath, and Mathematica for research
documentation1,312
oeis-api
On-Line Encyclopedia of Integer Sequences API
development1,312
osf-api
Manage open science projects and preprints via the OSF REST API
development1,312
zotero-ai-butler-guide
AI-powered paper summarization plugin for Zotero
tools1,312
unpaywall-api
Find free legal full-text versions of scholarly articles via Unpaywall
development1,312
preprint-servers-guide
Guide to preprint servers across scientific disciplines
testing1,312
pmc-ftp-bulk-download
Bulk download PMC Open Access articles via FTP for large-scale mining
tools1,312
pmc-oai-api
PubMed Central OAI-PMH metadata harvesting
development1,312
open-access-mining-guide
Mine open access full-text repositories for research data extraction
documentation1,312
open-access-guide
Navigate open access policies, repositories, and legal full-text retrieval me...
testing1,312
interlibrary-loan-guide
Access papers through interlibrary loan and document delivery services
development1,312
patent-analysis-guide
Patent search, classification, landscape analysis, and prior art mining
documentation1,312
institutional-repository-guide
Access papers from institutional and subject repositories at scale
documentation1,312
hal-archive-api
Access French and European research via the HAL open archive API
development1,312
doaj-api
Search open access journals and articles in the DOAJ directory
development1,312
dataverse-api
Deposit and discover research datasets via Harvard Dataverse API
development1,312
core-api-guide
Search and retrieve open access research papers via CORE aggregator
development1,312
bioc-pmc-api
Access PMC Open Access articles in BioC format for text mining
development1,312
arxiv-latex-source
Download and parse LaTeX source files from arXiv preprints
research1,312
zotero-arxiv-daily-guide
Guide to Zotero arXiv Daily for personalized daily paper recommendations
documentation1,312
semantic-scholar-recs-guide
Paper discovery via recommendation APIs (OpenAlex, CrossRef citation networks)
development1,312
clinical-trial-design-guide
Clinical trial methodology, biostatistics, and study design guidance
tools1,312
clinical-dialogue-agents-guide
Papers on AI agents for clinical dialogue and medical QA
tools1,287
imf-data-api-guide
Retrieve IMF economic indicators, exchange rates, and country data
development1,287
gbif-api
Global biodiversity data API for species occurrences and datasets
development1,287
pubchem-api-guide
Search PubChem for chemical compounds, structures, and bioassay data
development1,287
med-researcher-guide
Multi-agent system for biomedical literature review and synthesis
documentation1,287
chemeagle-guide
Multi-agent system for chemical literature information extraction
development1,287
medgeclaw-guide
AI research assistant for biomedicine, RNA-seq, and drug discovery
testing1,287
med-researcher-r1-guide
Medical deep research agent with reasoning chain analysis
documentation1,287
llm-aiops-guide
Papers on LLMs for IT operations and AIOps research
documentation1,287
ncbi-blast-api
Run sequence similarity searches via the NCBI BLAST REST API
development1,287
ncbi-datasets-api
Access genomes, genes, and taxonomy data via NCBI Datasets v2 API
development1,287
pdb-structure-api
Search and retrieve 3D protein structures from the RCSB Protein Data Bank
development1,287
innovation-management-guide
Innovation metrics, R&D management research, and technology forecasting
documentation1,287
business-skills
5 business research skills. Trigger: business strategy, market analysis, competitive intelligence. Design: analytical frameworks and methods for management and innovation research.
development1,287
market-analysis-guide
Structured frameworks for market sizing, competitive analysis, and strategic ...
development1,287
ecology-skills
5 ecology & environmental science skills. Trigger: biodiversity surveys, species data, environmental monitoring. Design: field data collection, spatial analysis, and conservation biology workflows.
testing1,287
genomics-analysis-guide
Workflows for RNA-seq, GWAS, and variant calling in genomic research
documentation1,287
genomas-guide
Automate gene expression analysis with the GenoMAS multi-agent system
documentation1,287
huggingface-api
Search and discover ML models, datasets, and Spaces on Hugging Face
development1,287
dl-transformer-finetune
Build transformer fine-tuning plans for classification and generation
development1,287
medical-data-api
Access FDA drug data and WHO global health statistics for research
development1,287
ensembl-rest-api
Query gene, sequence, and variant data via the Ensembl REST API
development1,287
enrichr-api
Perform gene set enrichment analysis using the Enrichr API
development1,287
biomedical-skills
24 biomedical research skills. Trigger: medical research, clinical trials, genomics, bioinformatics. Design: domain databases, wet-lab/dry-lab methods, and ethical compliance guides.
tools1,287
pytorch-guide
Avoid common PyTorch mistakes and apply robust training patterns
documentation1,287
transformer-architecture-guide
Guide to Transformer architectures for NLP and computer vision
documentation1,287
domain-adaptation-papers-guide
Comprehensive collection of domain adaptation research papers
documentation1,287
tensorflow-guide
TensorFlow best practices for tf.function, GPU memory, and deployment
devops1,287
responsible-ai-guide
Resources for trustworthy, fair, and ethical AI research
development1,287
clawbio-guide
OpenClaw bioinformatics skill library for genomics pipelines
development1,287
biothings-api
Query gene, variant, and drug annotations via BioThings APIs
development1,287
pytorch-lightning-guide
PyTorch Lightning framework for scalable model training and research
development1,287
epidemiology-guide
Epidemiological study designs, measures of association, and public health ana...
testing1,287
npcpy-research-guide
All-in-one Python library for NLP, agents, and knowledge graphs
development1,287
nlp-toolkit-guide
NLP analysis with perplexity scoring, burstiness, and entropy metrics
tools1,287
ml-pipeline-guide
Build and deploy reproducible production ML pipelines for research
development1,287
llm-from-scratch-guide
Build a ChatGPT-like LLM from scratch using PyTorch step by step
development1,287
keras-deep-learning
Build and debug deep learning models with Keras and TensorFlow backend
development1,287
kolmogorov-arnold-networks-guide
Papers and tutorials on KAN learnable activation networks
development1,287
graph-learning-papers-guide
Conference papers on graph neural networks and graph learning
documentation1,287
huggingface-inference-guide
Run NLP and CV model inference via Hugging Face free-tier API
development1,287
ai-agent-papers-guide
Curated 2024-2026 AI agent research papers collection
documentation1,287
generative-ai-guide
Curated guide to generative AI covering LLMs and diffusion models
documentation1,287
computer-vision-guide
Apply computer vision research methods, models, and evaluation tools
tools1,287
autonomous-agents-papers-guide
Daily-updated collection of autonomous AI agent papers
documentation1,287
anomaly-detection-papers-guide
Industrial anomaly detection methods and benchmark papers
documentation1,287
llm-evaluation-guide
Evaluate and benchmark large language models for research applications
documentation1,287
ai-model-benchmarking
Benchmark AI models across 60+ academic evaluation suites and metrics
data-ai1,287
medical-imaging-guide
Medical image analysis with deep learning for research applications
documentation1,287
StatsPAI_skill
Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study figure / robustness gauntlet — OR in epidemiology / public health style (target-trial emulation, IPTW + g-formula + TMLE triplet, Mendelian randomization, KM/AFT survival, E-value sensitivity, STROBE/TRIPOD reporting) — OR in ML causal inference style (DML, S/T/X/R/DR meta-learners, causal forest, Dragonnet/TARNet/CEVAE, BCF, CATE distribution, policy learning, conformal causal, fairness audit, causal discovery). Also covers exporting multi-column regression tables to Word / Excel / LaTeX (Stata outreg2 / esttab / R modelsummary equivalent) and bundling an entire replication appendix into one .docx / .xlsx / .tex file. Triggers on keywords "StatsPAI", "statspai", "AER empirical analysis", "applied micro pipeline", "Table 1 balance", "event study", "first-stage F", "Oster bound", "honest_did", "spec_curve", "callaway_santanna", "dragonnet", "text as treatment", "outreg2 in Python", "regression table to Word/Excel", "sp.regtable", "sp.collect", "sp.paper_tables", "sp.feols", "summary_col", "modelsummary", "AER style table", "QJE style table", "epidemiology pipeline", "target trial emulation", "g-formula", "IPTW", "TMLE", "Mendelian randomization", "STROBE", "TRIPOD", "公共健康", "流行病学", "DML", "double machine learning", "causal forest", "meta-learner", "CATE", "conformal causal", "policy learning", "因果机器学习", "ML causal".
development1,287
operations-research-guide
Optimization and operations research methods for business and logistics
documentation1,287
quickgo-api
Browse and search Gene Ontology annotations via the QuickGO API
development1,287
code-llm-papers-guide
Survey and paper collection on LLMs for code generation
development1,287
clinical-research-guide
Design clinical studies and report using CONSORT, STROBE guidelines
tools1,287
inaturalist-api
Citizen science platform API for biodiversity observations
development1,287
gaussian-splatting-papers-guide
Curated papers and resources for 3D Gaussian Splatting
documentation1,287
nber-working-papers-api
Access NBER working papers and economic research datasets
development1,287
architecture-design-guide
Design principles of form, function, sustainability in architecture
testing1,287
clinicaltrials-api-v2
Search and analyze clinical trials via the ClinicalTrials.gov v2 API
tools1,287
catalysis-hub-api
Query computational catalysis reaction data via Catalysis Hub GraphQL
development1,287
strategic-management-guide
Frameworks for strategic planning, resource allocation, and organizational an...
development1,287
chemgraph-agent-guide
Automate molecular simulations with the ChemGraph agentic framework
development1,287
computational-chemistry-guide
DFT, molecular simulation, and reaction prediction tools for chemists
tools1,287
molecular-dynamics-guide
Molecular dynamics simulation setup, execution, and trajectory analysis
documentation1,287
alphafold-api
Query AlphaFold protein structure predictions by UniProt accession
development1,287
cs-skills
10 computer science skills. Trigger: algorithms, systems research, software engineering, security papers. Design: theory, complexity analysis, code-centric research, and security methods.
development1,287
retrosynthesis-guide
Retrosynthetic analysis and computational reaction prediction
development1,287
spectroscopy-analysis-guide
Spectral data analysis for NMR, IR, mass spectrometry, and UV-Vis
documentation1,287
algorithms-complexity-guide
Analyze algorithm complexity and computational efficiency for research
development1,287
formal-verification-guide
Formal methods, theorem proving, and model checking for CS research
testing1,287
software-engineering-research
Guide to software engineering research topics and methodologies
documentation1,287
species-distribution-guide
Species distribution modeling with MaxEnt, SDM methods, and GBIF data
testing1,287
ai-security-papers-guide
AI security papers from top-4 security conferences
testing1,287
behavioral-economics-guide
Behavioral economics research methods and key frameworks
development1,287
ai-ml-skills
27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.
development1,287
fred-api
Federal Reserve Economic Data API for US economic indicators
development1,287
post-labor-economics
Post-labor economies with automation, UBI, and wealth distribution
tools1,287
pricing-psychology-guide
Behavioral economics in pricing strategies and consumer decisions
testing1,287
repec-economics-api
Access 4M+ economics working papers and articles via RePEc API
development1,287
world-bank-data-guide
Access World Bank development indicators and country statistics
development1,287
bioagents-guide
AI scientist framework for autonomous biological research workflows
development1,287
prompt-engineering-research
Systematic prompt engineering methods for AI-assisted academic research workf...
data-ai1,287
development-economics-guide
Apply development economics research methods and data sources
development1,287
economics-skills
9 economics skills. Trigger: economic modeling, policy analysis, macroeconomic data, FRED. Design: theory plus empirical methods with standard economics databases.
data-ai1,287
clinicaltrials-api
Clinical trial registry database search API
tools1,287
chemistry-skills
9 chemistry skills. Trigger: chemical structure analysis, reaction prediction, molecular modeling. Design: computational chemistry tools and cheminformatics workflows.
tools1,287
reinforcement-learning-guide
Reinforcement learning fundamentals, algorithms, and research
development1,287
software-heritage-api
Archive and retrieve source code history via Software Heritage API
development1,287
biodiversity-data-guide
Biodiversity data access, species occurrence, and ecological tools
tools1,287
dblp-api
Search computer science publications, authors, and venues via DBLP
development1,287
distributed-systems-guide
Distributed systems design patterns and analysis for CS research
documentation1,287
deep-learning-papers-guide
Annotated deep learning paper implementations with code walkthroughs
development1,287
vmas-simulator-guide
Vectorized multi-agent reinforcement learning simulator
documentation1,287
cactus-cheminformatics-guide
PNNL cheminformatics LLM agent for molecular analysis
development1,287
ena-sequence-api
Access nucleotide sequence data from the European Nucleotide Archive
development1,287
genotex-benchmark-guide
Benchmark for LLM agents on gene expression data analysis
documentation1,287
conservation-biology-guide
Apply conservation biology methods, databases, and assessment tools
tools1,287
comm-lit-review
Communications-domain literature review and related-work search with database-aware source control. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, prior art, a survey, related work, or a landscape summary. Prioritize IEEE Xplore and ScienceDirect, prefer formal publications over preprints, and separate foundational work from recent progress.
testing1,232
experiment-plan
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.
testing1,232
feishu-notify
Send notifications to Feishu/Lark. Internal utility used by other skills, or manually via /feishu-notify. Supports push-only (webhook) and interactive (bidirectional) modes. Use when user says \"发飞书\", \"notify feishu\", or other skills need to send status updates.
tools1,232
formula-derivation
Structure and derive research formulas when the user wants to 推导公式, derive a theory line, build equations from a problem statement, clarify assumptions, separate formal derivation from remarks, or turn messy theory notes into a paper-ready derivation skeleton. Use for research-style formula development, not for fully rigorous theorem proving once the claim is already fixed.
development1,232
grant-proposal
Draft a structured grant proposal from research ideas and literature. Supports KAKENHI (Japan), NSF (US), NSFC (China, including 面上/青年/优青/杰青/海外优青/重点), ERC (EU), DFG (Germany), SNSF (Switzerland), ARC (Australia), NWO (Netherlands), and generic formats. Use when user says "write grant", "grant proposal", "申請書", "write KAKENHI", "科研費", "基金申请", "写基金", "NSF proposal", or wants to turn research ideas into a funding application.
development1,232
idea-creator
Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.
data-ai1,232
idea-discovery-robot
Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says \"robotics idea discovery\", \"机器人找idea\", \"embodied AI idea\", \"机器人方向探索\", \"sim2real 选题\", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.
development1,232
idea-discovery
Workflow 1: Full idea discovery pipeline. Orchestrates research-lit → idea-creator → novelty-check → research-review to go from a broad research direction to validated, pilot-tested ideas. Use when user says \"找idea全流程\", \"idea discovery pipeline\", \"从零开始找方向\", or wants the complete idea exploration workflow.
development1,232
mermaid-diagram
Generate Mermaid diagrams from user requirements. Save .mmd and .md files to figures/ with syntax verification. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and many more diagram types.
data-ai1,232
monitor-experiment
Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.
testing1,232
novelty-check
Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.
testing1,232
paper-compile
Compile LaTeX paper to PDF, fix errors, and verify output. Use when user says \"编译论文\", \"compile paper\", \"build PDF\", \"生成PDF\", or wants to compile LaTeX into a submission-ready PDF.
development1,232
paper-figure
Generate publication-quality figures and tables from experiment results. Use when user says \"画图\", \"作图\", \"generate figures\", \"paper figures\", or needs plots for a paper.
testing1,232
paper-illustration
Generate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Codex-supervised iterative refinement loop. Use when user says "生成图表", "画架构图", "AI绘图", "paper illustration", "generate diagram", or needs visual figures for papers.
development1,232
paper-plan
Generate a structured paper outline from review conclusions and experiment results. Use when user says \"写大纲\", \"paper outline\", \"plan the paper\", \"论文规划\", or wants to create a paper plan before writing.
research1,232
paper-poster
Generate a conference poster (article + tcbposter LaTeX → A0/A1 PDF + editable PPTX + SVG) from a compiled paper. Use when user says "做海报", "制作海报", "conference poster", "make poster", "生成poster", "poster session", or wants to create a poster for a conference presentation.
development1,232
paper-writing
Workflow 3: Full paper writing pipeline. Orchestrates paper-plan → paper-figure → paper-write → paper-compile → auto-paper-improvement-loop to go from a narrative report to a polished, submission-ready PDF. Use when user says \"写论文全流程\", \"write paper pipeline\", \"从报告到PDF\", \"paper writing\", or wants the complete paper generation workflow.
development1,232
proof-writer
Writes rigorous mathematical proofs for ML/AI theory. Use when asked to prove a theorem, lemma, proposition, or corollary, fill in missing proof steps, formalize a proof sketch, 补全证明, 写证明, 证明某个命题, or determine whether a claimed proof can actually be completed under the stated assumptions.
development1,232
paper-slides
Generate conference presentation slides (beamer LaTeX → PDF + editable PPTX) from a compiled paper, with speaker notes and full talk script. Use when user says "做PPT", "做幻灯片", "make slides", "conference talk", "presentation slides", "生成slides", "写演讲稿", or wants beamer slides for a conference talk.
development1,232
pixel-art
Generate pixel art SVG illustrations for READMEs, docs, or slides. Use when user says "画像素图", "pixel art", "make an SVG illustration", "README hero image", or wants a cute visual.
documentation1,232
rebuttal
Workflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds.
devops1,232
research-lit
Search and analyze research papers, find related work, summarize key ideas. Use when user says "find papers", "related work", "literature review", "what does this paper say", or needs to understand academic papers.
research1,232
research-pipeline
Full research pipeline: Workflow 1 (idea discovery) → implementation → Workflow 2 (auto review loop). Goes from a broad research direction all the way to a submission-ready paper. Use when user says \"全流程\", \"full pipeline\", \"从找idea到投稿\", \"end-to-end research\", or wants the complete autonomous research lifecycle.
development1,232
research-refine-pipeline
Run an end-to-end workflow that chains `research-refine` and `experiment-plan`. Use when the user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap, or asks to "串起来", build a pipeline, do it end-to-end, or generate both the method and experiment plan together.
development1,232
research-refine
Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.4 review. Use when the user says "refine my approach", "帮我细化方案", "decompose this problem", "打磨idea", "refine research plan", "细化研究方案", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.
research1,232
research-review
Get a deep critical review of research from GPT using a secondary Codex agent. Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
development1,232
result-to-claim
Use when experiments complete to judge what claims the results support, what they do not, and what evidence is still missing. A secondary Codex agent evaluates results against intended claims and routes to the next action (pivot, supplement, or confirm). Use after experiments finish - before writing the paper or running ablations.
development1,232
run-experiment
Deploy and run ML experiments on local or remote GPU servers. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.
devops1,232
training-check
Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs). Avoids wasting GPU hours on broken runs. Use when training is running and you want automated health checks.
testing1,232
system-profile
Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. Produces structured performance reports with actionable recommendations. Use when user says "profile", "benchmark", "bottleneck", or wants performance analysis.
tools1,232
training-check
Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs). Avoids wasting GPU hours on broken runs. Use when training is running and you want automated health checks.
testing1,232
paper-write
Draft LaTeX paper section by section from an outline. Use when user says \"写论文\", \"write paper\", \"draft LaTeX\", \"开始写\", or wants to generate LaTeX content from a paper plan.
documentation1,232
algorithm-visualizer-guide
Guide to Algorithm Visualizer for interactive algorithm exploration
development1,232
bokeh-visualization-guide
Guide to Bokeh for interactive browser-based research visualizations
documentation1,232
chart-image-generator
Generate publication-quality chart images from research data
testing1,232
dataviz-skills
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
tools1,232
color-accessibility-guide
Colorblind-friendly palettes and accessible visualization design
documentation1,232
d3-visualization-guide
Guide to D3.js for building custom interactive data visualizations
development1,232
auto-review-loop-llm
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools1,232
echarts-visualization-guide
Guide to Apache ECharts for interactive research data dashboards
documentation1,232
auto-review-loop-minimax
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools1,232
geospatial-viz-guide
Create maps, choropleths, and spatial data visualizations for research
documentation1,232
interactive-viz-guide
Interactive data visualization with Plotly, ECharts, and D3
documentation1,232
metabase-analytics-guide
Guide to Metabase for open-source research data analytics and dashboards
documentation1,232
network-visualization-guide
Visualize networks, graphs, citation maps, and relational data
testing1,232
plotly-interactive-guide
Guide to Plotly.py for interactive scientific visualizations in Python
development1,232
publication-figures-guide
Create journal-quality scientific figures with proper styling and accessibility
testing1,232
python-dataviz-guide
Publication-quality data visualization with matplotlib, seaborn, and plotly
development1,232
redash-analytics-guide
Guide to Redash for SQL-driven research data dashboards and sharing
documentation1,232
econometrics-skills
12 econometrics skills. Trigger: causal analysis, regression models, treatment effects, panel data. Design: method-centric guides with R/Python code and diagnostic tests.
development1,232
causal-inference-guide
Causal inference methods including DiD, IV, RDD, and synthetic control
documentation1,232
econml-causal-guide
Apply EconML for causal inference combining machine learning and econometrics
documentation1,232
iv-regression-guide
Apply instrumental variables, 2SLS, and address endogeneity issues
documentation1,232
mostly-harmless-guide
Replication code and guide for Mostly Harmless Econometrics methods
development1,232
panel-data-analyst
Expert panel data regression analysis with fixed effects and GMM
data-ai1,232
panel-data-guide
Panel data analysis with fixed and random effects models
documentation1,232
python-causality-guide
Learn causal inference with Python using the Brave and True handbook
development1,232
robustness-checks
Sequential robustness checks in Stata with confounder blocks
testing1,232
stata-analyst-guide
Stata workflows for publication-ready sociology and social science research
testing1,232
stata-reference-guide
Comprehensive Stata reference covering syntax, econometrics, and 20+ packages
documentation1,232
time-series-guide
Apply ARIMA, VAR, cointegration, and time series econometric methods
documentation1,232
bayesian-statistics-guide
Bayesian inference methods including prior selection, MCMC, and model comparison
documentation1,232
statistics-skills
10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation.
development1,232
hypothesis-testing-guide
Statistical hypothesis testing, power analysis, and significance reporting
testing1,232
paper-figure
Generate publication-quality figures and tables from experiment results. Use when user says "画图", "作图", "generate figures", "paper figures", or needs plots for a paper.
testing1,232
paper-plan
Generate a structured paper outline from review conclusions and experiment results. Use when user says "写大纲", "paper outline", "plan the paper", "论文规划", or wants to create a paper plan before writing.
research1,232
novelty-check
Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.
testing1,232
paper-poster
Generate a conference poster (article + tcbposter LaTeX → A0/A1 PDF + editable PPTX + SVG) from a compiled paper. Use when user says "做海报", "制作海报", "conference poster", "make poster", "生成poster", "poster session", or wants to create a poster for a conference presentation.
development1,232
idea-discovery
Workflow 1: Full idea discovery pipeline. Orchestrates research-lit → idea-creator → novelty-check → research-review to go from a broad research direction to validated, pilot-tested ideas. Use when user says \"找idea全流程\", \"idea discovery pipeline\", \"从零开始找方向\", or wants the complete idea exploration workflow.
development1,232
meta-analysis-guide
Conduct systematic meta-analyses with effect size pooling and heterogeneity
documentation1,232
paper-slides
Generate conference presentation slides (beamer LaTeX → PDF + editable PPTX) from a compiled paper, with speaker notes and full talk script. Use when user says "做PPT", "做幻灯片", "make slides", "conference talk", "presentation slides", "生成slides", "写演讲稿", or wants beamer slides for a conference talk.
development1,232
ml-experiment-tracker
Plan reproducible ML experiment runs with parameters and metrics tracking
testing1,232
modeling-strategy-guide
Strategic statistical modeling, experimentation, and causal inference
documentation1,232
power-analysis-guide
Sample size calculation and statistical power analysis guide
documentation1,232
sem-guide
Structural equation modeling with latent variables guide
documentation1,232
survival-analysis-guide
Conduct Kaplan-Meier, Cox regression, and time-to-event analyses
documentation1,232
csv-data-analyzer
Load, explore, clean, and analyze CSV data with statistical summaries
data-ai1,232
paper-write
Draft LaTeX paper section by section from an outline. Use when user says "写论文", "write paper", "draft LaTeX", "开始写", or wants to generate LaTeX content from a paper plan.
documentation1,232
paper-writing
Workflow 3: Full paper writing pipeline. Orchestrates paper-plan → paper-figure → paper-write → paper-compile → auto-paper-improvement-loop to go from a narrative report to a polished, submission-ready PDF. Use when user says \"写论文全流程\", \"write paper pipeline\", \"从报告到PDF\", \"paper writing\", or wants the complete paper generation workflow.
development1,232
data-cleaning-pipeline
Systematic data cleaning workflows for research datasets
devops1,232
research-refine
Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative Gemini review. Use when the user says "refine my approach", "帮我细化方案", "decompose this problem", "打磨idea", "refine research plan", "细化研究方案", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.
research1,232
wrangling-skills
10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks.
development1,232
pandas-data-wrangling
Data cleaning, transformation, and exploratory analysis with pandas
development1,232
research-review
Get a deep critical review of research from Gemini via gemini-review MCP. Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
tools1,232
text-mining-guide
Apply NLP and text mining techniques to research text data
documentation1,232
ablation-planner
Use when main results pass result-to-claim (`claim_supported = yes` or `partial`) and ablation studies are needed for paper submission. A secondary Codex agent designs ablations from a reviewer's perspective; the local executor reviews feasibility and implements.
development1,232
missing-data-handling
Diagnose missing data patterns and apply appropriate imputation strategies
data-ai1,232
nonparametric-tests-guide
Apply Mann-Whitney, Kruskal-Wallis, and other nonparametric methods
testing1,232
analyze-results
Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
data-ai1,232
data-anomaly-detection
Detect anomalies and outliers in research data using statistical methods
data-ai1,232
stata-data-cleaning
Clean, transform, and validate messy research data using Stata
testing1,232
arxiv
Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.
development1,232
data-cog-guide
Upload messy CSVs with minimal prompting for deep automated analysis
documentation1,232
questionnaire-design-guide
Questionnaire and survey design with Likert scales and coding
documentation1,232
vast-gpu
Rent, manage, and destroy GPU instances on vast.ai. Use when user says "rent gpu", "vast.ai", "rent a server", "cloud gpu", or needs on-demand GPU without owning hardware.
devops1,232
auto-paper-improvement-loop
Autonomously improve a generated paper via GPT-5.4 xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\", \"论文润色循环\", \"auto improve\", or wants to iteratively polish a generated paper.
development1,232
stata-accounting-guide
STATA code for empirical accounting and financial economics research
development1,232
streamline-analyst-guide
End-to-end data analysis AI agent with Streamlit UI
documentation1,232
survey-data-processing
Clean, recode, and prepare survey response data for analysis
development1,232
auto-review-loop
Autonomous multi-round research review loop. Repeatedly reviews using a secondary Codex agent, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
development1,232
dse-loop
Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says \"DSE\", \"design space exploration\", \"sweep parameters\", \"optimize\", \"find best config\", or wants iterative parameter tuning.
content-media1,232
experiment-bridge
Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.
development1,232
paper-figure
Generate publication-quality figures and tables from experiment results. Use when user says "画图", "作图", "generate figures", "paper figures", or needs plots for a paper.
testing1,065
marginaleffects
Manual for the marginaleffects R and Python package, and guide to the book "Model to Meaning". Use when users ask about predictions, comparisons, slopes, marginal effects, average treatment effects (ATE/ATT/CATE), hypothesis testing, contrasts, counterfactuals, risk ratios, odds ratios, causal inference with G-computation, or need help with marginaleffects functions like predictions(), comparisons(), slopes(), hypotheses(), datagrid(), avg_predictions(), avg_comparisons(), avg_slopes(), or plot functions.
development1,065
research-ideation
Generate structured research questions, hypotheses, and empirical strategies from a topic or dataset within the sewage/environmental economics space. This skill should be used when asked to "brainstorm research questions", "what else can we do with this data", "research ideas", or "ideation".
data-ai1,065
paper-illustration
Generate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Claude-supervised iterative refinement loop. Use when user says "生成图表", "画架构图", "AI绘图", "paper illustration", "generate diagram", or needs visual figures for papers.
testing1,065
paper-write
Draft LaTeX paper section by section from an outline. Use when user says "写论文", "write paper", "draft LaTeX", "开始写", or wants to generate LaTeX content from a paper plan.
documentation1,065
idea-creator
Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.
data-ai1,065
proofread
Proofread the sewage-house-prices manuscript. Checks 6 categories — structure, claims-evidence alignment, identification fidelity, writing quality, grammar, and compilation. Produces a scored report without editing files. This skill should be used when asked to "proofread", "review the paper", "check the manuscript", or "quality check".
development1,065
audit-replication
Validate the replication package for the sewage-house-prices project. Runs 10 checks covering script execution, file integrity, output freshness, dependency verification, data provenance, and README completeness (AEA format). This skill should be used when asked to "audit replication", "check the package", or "verify reproducibility".
development1,065
skills/38-peternka-academic-proofreader
# Academic Proofreader System Prompt — Applied Microeconomics (Claude Code) --- ``` You are a team of elite academic proofreaders and copy-editors specializing in applied microeconomics. You have deep expertise in econometrics, causal inference, and the conventions of top economics journals (AER, QJE, Econometrica, ReStud, JPE, AEJ: Applied, JHR, JDE, etc.). Your job is to perform an exhaustive, multi-pass proofread of the manuscript I provide. ## YOUR MANDATE Each of you must be EXTREMELY
development1,065
skills/40-py-econometrics-pyfixest
# PyFixest LLM Skill Reference > Dense, machine-readable reference for LLMs. No prose padding. > Version: matches latest PyFixest release. ## Package Import ```python import pyfixest as pf ``` ## Core Estimation Functions ### pf.feols() — OLS / WLS / IV with Fixed Effects ```python pf.feols( fml: str, # Formula: "Y ~ X1 + X2 | fe1 + fe2" or IV: "Y ~ exog | fe | endog ~ inst" data: pd.DataFrame, vcov: str | dict = None, # "iid", "HC1"-"HC3", {"CRV1": "clus
development1,065
run-experiment
Deploy and run ML experiments on local or remote GPU servers. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.
devops1,065
typst-paper
Typst academic paper assistant for existing `.typ` paper projects in English or Chinese. Use this skill whenever the user wants to compile, audit, or improve a Typst paper, including format checks, bibliography validation for BibTeX or Hayagriva, grammar/sentence/logic review, expression polishing, translation, title optimization, pseudocode review, algorithm block cleanup, de-AI editing, experiment-section review, table structure validation, three-line table generation, abstract structure diagnosis, or journal adaptation. Trigger even when the user only mentions one Typst file, one bibliography issue, one pseudocode block, one section rewrite, "three-line table", "check abstract", or "reformat for another journal". Also trigger when the user mentions ".typ files", "typst compile error", "typst export", "typst bibliography", `algorithm-figure`, `lovelace`, or `algorithmic` even without saying the word "Typst" explicitly.
development1,065
paper-compile
Compile LaTeX paper to PDF, fix errors, and verify output. Use when user says "编译论文", "compile paper", "build PDF", "生成PDF", or wants to compile LaTeX into a submission-ready PDF.
development1,065
paper-audit
Deep-review-first audit for Chinese and English academic papers across LaTeX, Typst, and PDF formats. Use whenever the user wants reviewer-style paper critique, pre-submission readiness checks, pass/fail gate decisions, structured revision roadmaps, or re-audits of revised manuscripts. Trigger even if the user only says "review my paper", "check if this is ready to submit", "audit this PDF", "simulate peer review", "find the biggest problems in this manuscript", or "re-check whether I fixed the review issues". Do not use for direct source editing or compilation-heavy repair; route those to the format-specific writing skills instead.
development1,065
draft-paper
Draft sections of the sewage-house-prices academic paper. Handles section drafting for the Overleaf LaTeX manuscript, notation protocol, anti-hedging, and humanizer pass. This skill should be used when asked to "draft the paper", "write up the results", "write the intro", or draft any section of the manuscript.
documentation1,065
lit-review
Structured literature search and synthesis for the sewage-house-prices project. Searches top-5 journals, field journals (JEEM, JUE, JREFE, EE), NBER/SSRN, and citation chains. Produces annotated bibliography with proximity scores, gap identification, and BibTeX entries. This skill should be used when asked to "review the literature", "find papers on X", or "lit review".
testing1,065
review-r
R code review for the sewage project. Checks script structure, reproducibility, function design, figure quality, and professional polish against project conventions (here::here, arrow/parquet, fixest, modelsummary, native pipe). This skill should be used when asked to "review the code", "check my script", or "code review".
development1,065
submit
Final submission verification gate for the sewage-house-prices paper. Runs full paper excellence review, replication audit, enforces score gates, and generates cover letter draft and submission checklist. This skill should be used when asked to "submit", "prepare for submission", or "submission checklist".
testing1,065
target-journal
Journal targeting analysis for the sewage-house-prices paper. Recommends ranked journal list across 3 tiers with formatting requirements, submission strategy, and desk rejection risk assessment. This skill should be used when asked to "target a journal", "where should we submit", "journal fit", or "submission strategy".
development1,065
experiment-plan
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.
testing1,065
auto-paper-improvement-loop
Autonomously improve a generated paper via Claude review through claude-review MCP → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.
tools1,065
auto-review-loop
Autonomous multi-round research review loop. Repeatedly reviews using Claude Code via claude-review MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
tools1,065
research-refine
Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.4 review. Use when the user says "refine my approach", "帮我细化方案", "decompose this problem", "打磨idea", "refine research plan", "细化研究方案", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.
research1,065
research-review
Get a deep critical review of research from Claude via claude-review MCP. Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
tools1,065
data-analysis
End-to-end R data analysis for the sewage project. Writes analysis scripts following project conventions (here::here, arrow/parquet, fixest, modelsummary, native pipe), runs code review, and produces publication-ready tables and figures. This skill should be used when asked to "run an analysis", "estimate the model", "add a specification", or "write an R script".
development1,065
paper-excellence
Comprehensive multi-dimensional review of the sewage-house-prices project. Runs econometrics audit, code review, manuscript proofread, and bibliography validation in parallel. Computes a weighted aggregate score. This skill should be used when asked for a "full review", "quality check", "paper excellence", or before submission milestones.
development1,065
validate-bib
Validate bibliography entries against citations in manuscript and Quarto book files. Find missing entries, unused references, potential typos, and quality issues. This skill should be used when asked to "check the bibliography", "validate citations", or "validate-bib".
testing1,065
econometrics-check
Causal inference design audit for the sewage-house-prices project. Runs a 4-phase review (claim identification, design validity, inference, polish) covering hedonic pricing, repeat sales, long difference, DiD/event studies, upstream/downstream, and dry spill strategies. This skill should be used when asked to "check the econometrics", "audit the identification", "review the strategy", or when verifying that code matches the stated design.
development1,065
humanizer
Strip AI writing patterns from text. Checks 24 patterns across 4 categories (structural, lexical, rhetorical, formatting) with academic economics adaptation. This skill should be used on any text that reads too "AI-generated", or as a final pass on drafted sections. Triggers on "humanize", "de-AI", "make it sound natural", or "strip AI patterns".
development1,065
interview-me
Structured conversational interview to formalise a research idea or extension into a concrete specification with hypotheses and empirical strategy. This skill should be used when asked to "interview me", "help me think through an idea", "formalise this idea", or "start fresh" on a new research direction.
tools1,065
context-status
Show current session status and context health for the sewage project. Use to check context usage, active work state, and what will survive compaction.
testing1,065
identify
Design or review identification strategy for the sewage-house-prices project. Produces strategy memos with estimand, assumptions, pseudo-code, robustness plan, falsification tests, and referee objection anticipation. This skill should be used when asked to "design the strategy", "identify the effect", "write a strategy memo", or "think through identification".
development1,065
ablation-planner
Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements.
development1,065
analyze-results
Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
data-ai1,065
auto-review-loop-llm
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools1,065
arxiv
Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.
development1,065
auto-paper-improvement-loop
Autonomously improve a generated paper via GPT-5.4 xhigh review → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.
development1,065
comm-lit-review-claude-single
Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, related work, a survey, or a landscape summary. Search Zotero, Obsidian, and local paper folders first when available, then search IEEE Xplore, ScienceDirect, ACM Digital Library, and broader web in that order.
development1,065
auto-review-loop-minimax
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools1,065
dse-loop
Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says "DSE", "design space exploration", "sweep parameters", "optimize", "find best config", or wants iterative parameter tuning.
content-media1,065
feishu-notify
Send notifications to Feishu/Lark. Internal utility used by other skills, or manually via /feishu-notify. Supports push-only (webhook) and interactive (bidirectional) modes. Use when user says "发飞书", "notify feishu", or other skills need to send status updates.
tools1,065
formula-derivation
Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theorem proof.
development1,065
grant-proposal
Draft a structured grant proposal from research ideas and literature. Supports KAKENHI (Japan), NSF (US), NSFC (China, including 面上/青年/优青/杰青/海外优青/重点), ERC (EU), DFG (Germany), SNSF (Switzerland), ARC (Australia), NWO (Netherlands), and generic formats. Use when user says "write grant", "grant proposal", "申請書", "write KAKENHI", "科研費", "基金申请", "写基金", "NSF proposal", or wants to turn research ideas into a funding application.
development1,065
idea-creator
Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.
data-ai1,065
idea-discovery-robot
Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says "robotics idea discovery", "机器人找idea", "embodied AI idea", "机器人方向探索", "sim2real 选题", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.
development1,065
idea-discovery
Workflow 1: Full idea discovery pipeline. Orchestrates research-lit → idea-creator → novelty-check → research-review to go from a broad research direction to validated, pilot-tested ideas. Use when user says "找idea全流程", "idea discovery pipeline", "从零开始找方向", or wants the complete idea exploration workflow.
development1,065
mermaid-diagram
Generate Mermaid diagrams from user requirements. Saves .mmd and .md files to figures/ directory with syntax verification. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and 18 more diagram types.
data-ai1,065
novelty-check
Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.
testing1,065
paper-figure
Generate publication-quality figures and tables from experiment results. Use when user says "画图", "作图", "generate figures", "paper figures", or needs plots for a paper.
testing1,065
paper-plan
Generate a structured paper outline from review conclusions and experiment results. Use when user says "写大纲", "paper outline", "plan the paper", "论文规划", or wants to create a paper plan before writing.
research1,065
paper-poster
Generate a conference poster (article + tcbposter LaTeX → A0/A1 PDF + editable PPTX + SVG) from a compiled paper. Use when user says "做海报", "制作海报", "conference poster", "make poster", "生成poster", "poster session", or wants to create a poster for a conference presentation.
development1,065
paper-writing
Workflow 3: Full paper writing pipeline. Orchestrates paper-plan → paper-figure → paper-write → paper-compile → auto-paper-improvement-loop to go from a narrative report to a polished, submission-ready PDF. Use when user says "写论文全流程", "write paper pipeline", "从报告到PDF", "paper writing", or wants the complete paper generation workflow.
development1,065
pixel-art
Generate pixel art SVG illustrations for READMEs, docs, or slides. Use when user says "画像素图", "pixel art", "make an SVG illustration", "README hero image", or wants a cute visual.
documentation1,065
proof-writer
Writes rigorous mathematical proofs for ML/AI theory. Use when asked to prove a theorem, lemma, proposition, or corollary, fill in missing proof steps, formalize a proof sketch, 补全证明, 写证明, 证明某个命题, or determine whether a claimed proof can actually be completed under the stated assumptions.
development1,065
rebuttal
Workflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds. Use when user says "rebuttal", "reply to reviewers", "ICML rebuttal", "OpenReview response", or wants to answer external reviews safely.
devops1,065
research-lit
Search and analyze research papers, find related work, summarize key ideas. Use when user says "find papers", "related work", "literature review", "what does this paper say", or needs to understand academic papers.
research1,065
research-pipeline
Full research pipeline: Workflow 1 (idea discovery) → implementation → Workflow 2 (auto review loop). Goes from a broad research direction all the way to a submission-ready paper. Use when user says "全流程", "full pipeline", "从找idea到投稿", "end-to-end research", or wants the complete autonomous research lifecycle.
development1,065
research-refine-pipeline
Run an end-to-end workflow that chains `research-refine` and `experiment-plan`. Use when the user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap, or asks to "串起来", build a pipeline, do it end-to-end, or generate both the method and experiment plan together.
development1,065
idea-discovery-robot
Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says \"robotics idea discovery\", \"机器人找idea\", \"embodied AI idea\", \"机器人方向探索\", \"sim2real 选题\", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.
development1,065
research-refine
Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.4 review. Use when the user says "refine my approach", "帮我细化方案", "decompose this problem", "打磨idea", "refine research plan", "细化研究方案", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.
research1,065
research-review
Get a deep critical review of research from GPT via Codex MCP. Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
tools1,065
auto-paper-improvement-loop
Autonomously improve a generated paper via Gemini review through gemini-review MCP → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.
tools1,065
result-to-claim
Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. Codex MCP evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.
tools1,065
semantic-scholar
Search published venue papers (IEEE, ACM, Springer, etc.) via Semantic Scholar API. Complements /arxiv (preprints) with citation counts, venue metadata, and TLDR. Use when user says "search semantic scholar", "find IEEE papers", "find journal papers", "venue papers", "citation search", or wants published literature beyond arXiv preprints.
development1,065
novelty-check
Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.
testing1,065
paper-plan
Generate a structured paper outline from review conclusions and experiment results. Use when user says "写大纲", "paper outline", "plan the paper", "论文规划", or wants to create a paper plan before writing.
research1,065
paper-write
Draft LaTeX paper section by section from an outline. Use when user says "写论文", "write paper", "draft LaTeX", "开始写", or wants to generate LaTeX content from a paper plan.
documentation1,065
review-paper
Simulated peer review of the sewage-house-prices manuscript. Dispatches 2 independent referee reviews (parallel) and an editorial decision (sequential). Produces referee reports and accept/revise/reject recommendation. This skill should be used when asked to "review the paper", "get feedback", "simulate peer review", or "what would referees say".
testing1,065
slide-excellence
Multi-agent review for research presentation slides in the sewage-house-prices project (visual, econometric fidelity, proofreading, substance). Use for comprehensive quality check before milestones.
testing1,065
commit
Stage, commit, and push changes for the sewage project. Creates a branch, commits with a descriptive message, pushes, and optionally creates a PR. This skill should be used when asked to "commit", "save changes", "push", or "create a PR".
tools1,065
respond-to-referee
Structure point-by-point referee responses for the sewage-house-prices paper. Classifies each comment (NEW ANALYSIS / CLARIFICATION / REWRITE / DISAGREE / MINOR), produces a tracking document, drafts a response letter in LaTeX, and flags items needing new analysis or user judgment. This skill should be used when asked to "respond to referees", "draft revision", "address referee comments", or "R&R".
documentation1,065
literature-review
帮助用户撰写高质量的文献综述类论文。提供从选题、文献检索、评估筛选、结构规划到最终写作的全流程指导。适用于需要撰写独立文献综述论文或学术论文中文献综述部分的用户。
tools1,065
create-talk
Generate Beamer presentations for the sewage-house-prices project by dispatching the Storyteller agent (creator) and Discussant agent (critic). Supports 4 formats — job market, seminar, short, lightning. Derives all content from the paper.
development1,065
data-deposit
Prepare a replication package for the sewage-house-prices project. Generates AEA-compliant README, master script, numbered script order, install script, and deposit checklist. Validates the package against 10 verification checks. This skill should be used when asked to "prepare replication", "data deposit", "create replication package", or "package for submission".
testing1,065
auto-review-loop
Autonomous multi-round research review loop. Repeatedly reviews via Codex MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
tools1,065
monitor-experiment
Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.
testing1,065
experiment-bridge
Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.
development1,065
paper-slides
Generate conference presentation slides (beamer LaTeX → PDF + editable PPTX) from a compiled paper, with speaker notes and full talk script. Use when user says "做PPT", "做幻灯片", "make slides", "conference talk", "presentation slides", "生成slides", "写演讲稿", or wants beamer slides for a conference talk.
development1,065
auto-review-loop
Autonomous multi-round research review loop. Repeatedly reviews using Gemini via gemini-review MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
tools1,065
grant-proposal
Draft a structured grant proposal from research ideas and literature. Supports KAKENHI (Japan), NSF (US), NSFC (China, including 面上/青年/优青/杰青/海外优青/重点), ERC (EU), DFG (Germany), SNSF (Switzerland), ARC (Australia), NWO (Netherlands), and generic formats. Use when user says "write grant", "grant proposal", "申請書", "write KAKENHI", "科研費", "基金申请", "写基金", "NSF proposal", or wants to turn research ideas into a funding application.
development1,065
writing-anti-ai
This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.
testing671
latex-paper-en
English LaTeX academic paper assistant for existing `.tex` projects. Use this skill whenever the user wants to compile, lint, audit, or improve an English LaTeX conference or journal paper such as IEEE, ACM, Springer, NeurIPS, or ICML submissions. Trigger even when the user only mentions one paper issue, such as bibliography errors, grammar cleanup, sentence splitting, logic review, expression polishing, translation, title optimization, figure checks, pseudocode review, algorithm block cleanup, de-AI editing, experiment-section review, table structure validation, three-line table generation, abstract structure diagnosis, or journal adaptation. Also trigger for "proofread my paper", "fix my LaTeX", "prepare for submission", "check my manuscript", "improve my writing", "three-line table", "booktabs", "check abstract", "reformat for another journal", "换投", `algorithm2e`, `algorithmicx`, `algpseudocodex`, `Require/Ensure`, or "Algorithm 1" when the user has a .tex file.
development671
latex-thesis-zh
Chinese LaTeX thesis assistant for existing .tex degree thesis projects (XeLaTeX/LuaLaTeX/latexmk). Use this skill whenever a user works on a Chinese master's or doctoral thesis needing compilation, GB/T 7714 bibliography checks, chapter structure mapping, template detection (thuthesis, pkuthss), terminology consistency, logic coherence review, heading lead-in checks, title optimization, de-AI editing, experiment chapter review, three-line table validation, or abstract structure diagnosis. Trigger even for single issues like "帮我编译论文", "检查国标格式", "看看绪论逻辑", "毕业论文", "学位论文", "硕士/博士论文", "三线表", "检查摘要", or "摘要结构".
testing671
zotero-obsidian-bridge
Use this skill when papers are collected in Zotero but the user wants detailed reading notes, project-linked literature synthesis, collection-wide paper-note coverage checks, and a connected knowledge map inside the bound Obsidian project knowledge base.
testing671
industrial-ai-research
Industrial AI literature research with mandatory intake questions, venue-aware source prioritization, structured report outputs, and survey draft generation. Use when the user needs up-to-date research on predictive maintenance, intelligent scheduling, industrial anomaly detection, smart manufacturing, cyber-physical systems, edge AI for automation, or crossover robotics-for-industry topics. Also trigger for adjacent terms: "digital twin", "industrial IoT", "Industry 4.0", "manufacturing AI", "factory automation", "process optimization", or "survey draft" in industrial contexts.
tools671
research-companion
Strategic research companion — brainstorm, evaluate, and decide on research directions. TRIGGER when the user wants to brainstorm research, evaluate research ideas, do project triage, or explore a problem space. Orchestrates brainstormer, idea-critic, and research-strategist agents through a 6-phase pipeline: Seed → Diverge → Evaluate → Deepen → Frame → Decide. Includes Carlini's conclusion-first test.
testing671
obsidian-research-log
Use this skill when the user is discussing daily research work, TODOs, plans, standups, meetings, milestones, or general project progress that should be reflected in Obsidian daily notes, plan notes, and hub updates.
data-ai635
skill-improver
This skill should be used when the user asks to "apply skill improvements", "update skill from plan", "execute improvement plan", "fix skill issues", "implement skill recommendations", or mentions applying improvements from quality review reports. Reads improvement-plan-{name}.md files generated by skill-quality-reviewer and intelligently merges and executes the suggested changes to improve Claude Skills quality.
testing635
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
tools635
skill-quality-reviewer
This skill should be used when the user asks to "analyze skill quality", "evaluate this skill", "review skill quality", "check my skill", or "generate quality report". Evaluates local skills across description quality, content organization, writing style, and structural integrity.
testing635
uv-package-manager
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
development635
results-analysis
This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions interpreting experiment data with rigorous statistics and visualization. It focuses on strict analysis bundles, not Results-section prose.
development635
skill-development
This skill should be used when the user asks to create a new skill, repair an existing skill, improve trigger descriptions, reorganize skill structure, or make a Claude skill more reusable and internally consistent.
development635
obsidian-project-bootstrap
This skill should be used when the user asks to start a new research project, import an existing code-plus-Markdown repository into Obsidian, or bind the current repository to a compact research knowledge base for future syncing.
development635
obsidian-link-graph
Use this skill when the user wants to repair or strengthen Obsidian wikilinks among existing canonical project notes, especially across papers, knowledge notes, experiments, results, and writing.
testing635
obsidian-synthesis-map
Use this skill when generating higher-level synthesis notes such as literature reviews, comparison matrices, project summaries, or other cross-note summaries inside the project knowledge base.
tools635
verification-loop
This skill should be used when the user asks to "verify code", "run verification", "check quality", "validate changes", or before creating a PR. Provides comprehensive verification including build, type check, lint, tests, security scan, and diff review.
development635
research-ideation
This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select research method", "plan research", or mentions research project initiation phase. Provides comprehensive guidance for research startup workflow from idea generation to planning.
development635
results-report
This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts into a structured, decision-oriented research report. It assumes strict analysis should come from `results-analysis` first.
testing635
ui-ux-pro-max
This skill should be used when the user asks to design or review a UI, create a landing page or dashboard, choose colors or typography, improve accessibility, or implement polished frontend interfaces with a clear design system.
development635
review-response
Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.
documentation635
planning-with-files
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.
data-ai635
web-design-reviewer
This skill enables visual inspection of websites running locally or remotely to identify and fix design issues. Triggers on requests like "review website design", "check the UI", "fix the layout", "find design problems". Detects issues with responsive design, accessibility, visual consistency, and layout breakage, then performs fixes at the source code level.
development635
obsidian-bases
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
data-ai635
obsidian-cli
Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes.
tools635
obsidian-markdown
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
testing635
obsidian-literature-workflow
Use this skill when the user keeps paper notes inside an Obsidian project knowledge base and wants filesystem-first literature review, explicit agent-first Zotero ingestion, `Papers/` plus `Knowledge/` synthesis, collection-wide normalization, and a default literature canvas without Obsidian MCP.
tools635
obsidian-experiment-log
Use this skill when the user discusses experiment design, ablations, training runs, evaluation, baselines, metrics, failures, or result interpretation that should be logged into Obsidian experiment and result notes.
data-ai635
obsidian-project-memory
This skill should be used when the user asks to maintain an Obsidian knowledge base for a research project, import an existing research repository into Obsidian, keep project memory or daily notes synchronized, summarize project context into durable notes, or update experiments, results, papers, writing, and plans in an Obsidian vault without requiring MCP.
tools635
ml-paper-writing
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, conducting literature reviews, finding related work, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, citation verification workflows, and paper discovery/evaluation criteria.
testing635
obsidian-project-lifecycle
Use this skill when the user wants to detach, archive, purge, or otherwise change the lifecycle state of an Obsidian project knowledge base.
tools635
post-acceptance
This skill should be used when the user asks to "prepare conference presentation", "create presentation slides", "design poster", "make academic poster", "write promotion content", "create Twitter thread", or mentions post-acceptance conference preparation. Provides comprehensive workflow for presentation, poster, and promotion content creation.
documentation635
paper-self-review
This skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.
testing635
plugin-structure
This skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", "set up plugin.json", "use ${CLAUDE_PLUGIN_ROOT}", "add commands/agents/skills/hooks", "configure auto-discovery", or needs guidance on plugin directory layout, manifest configuration, component organization, file naming conventions, or Claude Code plugin architecture best practices.
tools635
daily-coding
Use for everyday coding tasks that involve writing or modifying source code.
development566
code-review-excellence
This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review.
development566
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
development566
hook-development
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
tools566
daily-paper-generator
Use when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper summaries for EEG/brain decoding/speech decoding research. This skill automates searching arXiv for recent papers on EEG decoding, EEG speech decoding, or brain foundation models, reviewing paper quality, and generating structured Chinese/English summaries.
testing566
doc-coauthoring
This skill should be used when the user asks to co-author documentation, draft a proposal, write a technical spec, create a decision doc or RFC, or structure a substantial document through iterative collaboration and reader testing.
testing566
architecture-design
Use only when creating new registrable ML components that require Factory or Registry patterns.
data-ai566
command-development
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
development566
kaggle-learner
This skill should be used when the user asks to "learn from Kaggle", "study Kaggle solutions", "analyze Kaggle competitions", or mentions Kaggle competition URLs. Provides access to extracted knowledge from winning Kaggle solutions across NLP, CV, time series, tabular, and multimodal domains.
data-ai566
latex-conference-template-organizer
Organize messy conference LaTeX template .zip files into clean Overleaf-ready structure. Use when the user asks to "organize LaTeX template", "clean up .zip template", or "prepare Overleaf submission template".
tools566
citation-verification
This skill provides reference guidance for citation verification in academic writing. Use when the user asks about "citation verification best practices", "how to verify references", "preventing fake citations", or needs guidance on citation accuracy. This skill supports ml-paper-writing by providing detailed verification principles and common error patterns.
testing566
bug-detective
This skill should be used when the user asks to "debug this", "fix this error", "investigate this bug", "troubleshoot this issue", "find the problem", "something is broken", "this isn't working", "why is this failing", or reports errors/exceptions/bugs. Provides systematic debugging workflow and common error patterns.
development566
mcp-integration
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
tools566
json-canvas
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
tools566
defuddle
Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page.
tools566
Full-empirical-analysis-skill-Stata
Classical end-to-end empirical analysis workflow in the traditional Stata ecosystem — native Stata + reghdfe + ivreg2 + csdid + did_imputation + eventstudyinteract + sdid + rdrobust + rddensity + synth + synth_runner + psmatch2 + teffects + ebalance + coefplot + esttab + asdoc + binscatter. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and event-study + coefficient + trend figures. Covers the full 8-step Stata pipeline an applied economist runs on every paper — (1) data import & cleaning (use/import, destring, misstable, duplicates, merge assert), (2) variable construction (gen/egen/winsor2/xtile/xtset with L./F./D.), (3) descriptive statistics & Table 1 (tabstat/balancetable/asdoc), (4) classical diagnostic tests (sktest/swilk/hettest/imtest/xtserial/xttest3/vif/dfuller/kpss/hausman/estat overid), (5) baseline modeling (reg/xtreg/reghdfe/ivreg2/ivregress/csdid/did_imputation/eventstudyinteract/sdid/rdrobust/synth/psmatch2/teffects/heckman/qreg/ppmlhdfe), (6) robustness battery (bacondecomp/honestdid/rwolf/ritest/wildbootstrap/oster), (7) further analysis (subgroup/triple-diff/interactions/medsem/marginsplot/binscatter by group), (8) publication-ready tables & figures (esttab/outreg2/estout/coefplot/marginsplot/rdplot/twoway combined). **Also covers two parallel domain modes that share the same 8-step scaffolding** — **Mode A — Epidemiology / public health** (target-trial emulation, IPTW + g-formula + TMLE doubly-robust triplet via `teffects ipw` / `teffects ipwra` / `teffects aipw` / `eltmle`, Mendelian randomization via `mrrobust` (IVW / Egger / weighted median) and `mregger` / `mrpresso`, KM / Cox / AFT / RMST survival via `sts` / `stcox` / `streg` / `strmst2`, E-value sensitivity via `evalue` (Linden-Mathur), principal stratification — STROBE / TRIPOD reporting), and **Mode B — ML causal inference** (DML via `ddml` / `pdslasso`, S/T/X/R/DR meta-learners via `crforest` and `ddml interactive`, causal forest via `crforest` / `cforest`, BART/BCF via `bart` / `bartCause`-style externals, CATE distribution + policy tree via `crforest`, off-policy evaluation, conformal causal externals, fairness audit, DAG learning via `pcalg` / external Python callouts). Use when the user asks for a complete Stata empirical analysis, wants a reproducible .do-file pipeline, needs a Stata counterpart to the Python StatsPAI / Full-empirical-analysis-skill, or names a specific Stata step in isolation ("run reghdfe with two-way clustering", "csdid event study", "winsor2 at 1%", "esttab to LaTeX", "coefplot with CI", "ivreg2 weak-IV test", "synth_runner placebos", "teffects psmatch balance check"). Mode A triggers on "target trial emulation Stata", "teffects ipw aipw", "eltmle", "mrrobust", "mregger weighted median", "stcox AFT survival", "strmst2", "evalue Stata", "STROBE Stata", "公共健康 Stata", "流行病学 Stata". Mode B triggers on "ddml Stata", "pdslasso", "crforest causal forest Stata", "policy tree Stata", "因果机器学习 Stata".
development566
git-workflow
This skill should be used when the user asks to "create git commit", "manage branches", "follow git workflow", "use Conventional Commits", "handle merge conflicts", or asks about git branching strategies, version control best practices, pull request workflows. Provides comprehensive Git workflow guidance for team collaboration.
tools566
agent-identifier
Use when creating or configuring Claude Code agents and their frontmatter.
development566
stata
Comprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 20 community packages (reghdfe, estout, did, rdrobust, etc.). Covers syntax, options, gotchas, and idiomatic patterns. Use this skill whenever the user asks you to write, debug, or explain Stata code.
development566
a1
VS-Enhanced Research Question Refiner - Prevents Mode Collapse and derives differentiated research questions Enhanced VS 3-Phase process: Modal question avoidance, alternatives presentation, differentiated RQ recommendation Use when: refining research ideas, formulating research questions, clarifying scope Triggers: research question, 연구 질문, PICO, SPIDER, research idea
content-media538
Full-empirical-analysis-skill
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml + matplotlib/seaborn. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and event-study + coefficient + trend figures. Covers the full 8-step pipeline an applied economist or quantitative social scientist runs on every paper — (1) data cleaning, (2) variable construction & transformation, (3) descriptive statistics & Table 1, (4) statistical diagnostic tests, (5) baseline empirical modeling, (6) robustness battery, (7) further analysis (mechanism, heterogeneity, mediation, moderation), (8) publication-ready tables & figures. **Also covers two parallel domain modes that share the same 8-step scaffolding** — **Mode A — Epidemiology / public health** (target-trial emulation via `zepid` / hand-rolled `pandas`, IPTW + g-formula + TMLE doubly-robust triplet via `zepid` / `econml` / `lifelines`, Mendelian randomization via `pymr` / `mrtool` (or `rpy2` → `MendelianRandomization`/`TwoSampleMR`), KM / AFT / Cox survival via `lifelines`, E-value sensitivity, principal stratification — STROBE / TRIPOD reporting), and **Mode B — ML causal inference** (DML via `econml.dml` / `doubleml`, S/T/X/R/DR meta-learners via `econml.metalearners` / `causalml`, causal forest via `econml.grf` / `causalml`, Dragonnet / TARNet / CEVAE neural causal via `causalml`, BCF via `pymc-bart` / `bcf-py`, matrix completion, CATE distribution + policy tree via `econml.policy` / `policytree-py`, off-policy evaluation, conformal causal via `mapie`, fairness audit via `fairlearn`, DAG learning via `causal-learn` / `cdt` / LLM-assisted). Prescribes which library to reach for at each step, shows the canonical code, and links to deeper `references/` files for variant-specific patterns. Use when the user asks for a **complete empirical analysis** in Python, wants to replicate an applied-economics paper from scratch, needs a reproducible workflow that is NOT opinionated on any single vertical package (contrast with StatsPAI), wants explicit control over every estimator and diagnostic, or asks "how do I write a full empirical pipeline in Python?". Also triggers when the user names a specific classical step in isolation — "winsorize at 1/99%", "run Breusch-Pagan", "build a Table 1 balance table", "do a placebo test", "event study plot", "mediation analysis" — and wants it wired into the broader pipeline. Mode A triggers on "target trial emulation", "IPTW", "TMLE", "Mendelian randomization", "STROBE", "公共健康", "流行病学". Mode B triggers on "DML", "double machine learning", "causal forest", "meta-learner", "Dragonnet", "BCF", "policy tree", "conformal causal", "fairness audit", "因果机器学习".
tools538
api-data-fetcher
Fetch economic data from FRED, World Bank, and other APIs
development538
sync-tex
Transfers prose edits from latex/index.tex (Overleaf) back into index.qmd. Use after pulling LaTeX edits from a collaborator.
tools538
regression-table
Formats estimation output as a publication-quality regression table with stars, SEs, and fit statistics. Use when creating a results table.
development538
a5
Agent A5 - Paradigm & Worldview Advisor - Philosophical foundations for research design. Covers ontology, epistemology, axiology, and methodology alignment. Use when: establishing philosophical foundations, justifying methodological choices, writing positionality statements Triggers: paradigm, 패러다임, ontology, epistemology, worldview, 세계관, philosophical foundations, 철학적 기초
data-ai538
Full-empirical-analysis-skill-R
Classical end-to-end empirical analysis workflow in the modern tidyverse + econometrics R ecosystem — dplyr + tidyr + haven + fixest + sandwich + lmtest + clubSandwich + AER + ivreg + did + bacondecomp + HonestDiD + eventstudyr + rdrobust + rddensity + Synth + gsynth + synthdid + MatchIt + WeightIt + cobalt + ebal + grf + DoubleML + mediation + marginaleffects + modelsummary + kableExtra + gt + ggplot2 + ggpubr + cowplot + binsreg. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and event-study + coefficient + trend figures. Covers the full 8-step R pipeline an applied economist runs on every paper — (1) data import & cleaning (read_dta/read_csv, naniar, janitor, validate-merges), (2) variable construction (mutate/across/winsorize/group_by + lag/lead with dplyr), (3) descriptive statistics & Table 1 (gtsummary, modelsummary::datasummary, tableone), (4) classical diagnostic tests (shapiro/jarque.bera.test/bptest/dwtest/bgtest/vif/adf.test/kpss.test/Hausman), (5) baseline modeling (fixest::feols, ivreg, did::att_gt, eventstudyr, sun_ab, did_imputation, synthdid, rdrobust, MatchIt, WeightIt, grf::causal_forest, DoubleML, mediation), (6) robustness battery (modelsummary stack, clubSandwich CRSE, fwildclusterboot, ri2, robomit Oster, bacondecomp, HonestDiD), (7) further analysis (interactions + marginaleffects, mediation::mediate, gsem via lavaan, dose-response splines, grf CATE), (8) publication-ready tables & figures (modelsummary, kableExtra, gt, stargazer, texreg, flextable to LaTeX/Word/HTML; ggplot2 + ggpubr + cowplot + binsreg + iplot for figures). **Also covers two parallel domain modes that share the same 8-step scaffolding** — **Mode A — Epidemiology / public health** (target-trial emulation, IPTW + g-formula + TMLE doubly-robust triplet via `WeightIt` / `gfoRmula` / `tmle` / `ltmle`, Mendelian randomization via `MendelianRandomization` / `TwoSampleMR` / `MRPRESSO`, KM / Cox / AFT / RMST survival via `survival` / `survminer` / `flexsurv`, E-value sensitivity via `EValue`, principal stratification — STROBE / TRIPOD reporting), and **Mode B — ML causal inference** (DML via `DoubleML`, S/T/X/R/DR meta-learners via `causalweight` / `grf`, causal forest via `grf::causal_forest`, BART/BCF via `bartCause` / `bcf`, matrix completion via `MCPanel`, CATE distribution + policy tree via `policytree`, off-policy evaluation, conformal causal via `conformalInference` / `cfcausal`, fairness audit via `fairmodels`, DAG learning via `pcalg` / `bnlearn` / LLM-assisted). Use when the user asks for a complete R empirical analysis, wants a tidyverse-style reproducible R script / Quarto workflow, prefers fixest over reghdfe, needs the R counterpart to StatsPAI / 00.1 / 00.2, or names a specific R step in isolation ("feols with cluster", "MatchIt nearest neighbor", "bacondecomp in R", "gtsummary table 1", "modelsummary to Word"). Mode A triggers on "target trial emulation R", "tmle ltmle", "MendelianRandomization", "TwoSampleMR", "MRPRESSO", "survival cox AFT", "STROBE R", "EValue R", "公共健康 R", "流行病学 R". Mode B triggers on "DoubleML R", "grf causal forest", "policytree", "bartCause bcf", "conformal causal R", "fairmodels", "pcalg NOTEARS", "因果机器学习 R".
tools538
academic-paper-writer
Draft economics papers with proper structure and academic style
documentation538
submission-prep
Runs pre-submission checks (word count, anonymization, citations, placeholders, cross-refs) and generates a checklist. Use before journal submission.
testing538
referee-response
Drafts a point-by-point response letter to referee comments with suggested edits. Use after a revise-and-resubmit.
documentation538
r-econometrics
Run IV, DiD, and RDD analyses in R with proper diagnostics
tools538
python-panel-data
Panel data analysis with Python using linearmodels and pandas.
development538
publication-strategist
Strategic publication planning and venue selection for research
research538
proofread
Run the proofreading protocol on lecture files. Checks grammar, typos, overflow, consistency, and academic writing quality. Produces a report without editing files.
testing538
proof-architect
Structured methodology for constructing and verifying mathematical proofs in statistical research
testing538
academic-paper-verify
Thoroughly verify all code, tables, figures, modeling decisions, and quantitative claims in an academic paper against its source R scripts and output files. Use this skill whenever you need to audit, replicate, or verify an academic research paper - including cross-checking LaTeX tables against R output, validating econometric modeling choices, ensuring sample sizes are consistent, building a verification manifest, and running automated replication tests. Trigger this skill for any mention of: paper verification, replication check, table audit, code-paper consistency, reproducing results, verifying estimates, checking coefficients, or any variant of "does the paper match the code."
development538
orchestrator
Unified Agent Teams orchestrator for Diverga v12.0.0. Manages Agent Teams creation, VS Arena debate, and subagent dispatch. Single entry point for all parallel/debate workflows. Replaces research-orchestrator and vs-arena skills. Triggers: orchestrator, agent team, create team, parallel agents, debate, competing, collaborate, VS Arena
data-ai538
numerical-methods
Numerical algorithms and computational techniques for statistics
development538
new-notebook
Creates a Jupyter notebook with Jupytext pairing and registers it in _quarto.yml. Use when adding a new notebook.
data-ai538
new-analysis
Scaffolds a method-specific analysis notebook (DiD, IV, RDD, LASSO, Panel FE) with boilerplate. Use when starting a new econometric analysis.
testing538
methods-communicator
Effective communication strategies for statistical methods
tools538
diverga-memory
Diverga Memory System v7.0 - Context-persistent research support with checkpoint auto-trigger and cross-session continuity. Triggers: memory, remember, context, recall, checkpoint, decision, persist, 기억, 맥락, 세션, 체크포인트
testing538
mathematical-foundations
Core mathematical concepts and theoretical frameworks for statistics
development538
lit-review-assistant
Search, summarize, and synthesize economics literature
tools538
literature-gap-finder
Method×Setting matrices and systematic gap identification
tools538
latex-tables
Generate publication-ready regression tables in LaTeX.
tools538
latex-econ-model
Write and typeset economic models in LaTeX with proper notation
documentation538
interview-me
Interactive interview to formalize a research idea into a structured specification with hypotheses and empirical strategy
testing538
interpret-results
Writes academic prose interpreting regression output. Use when describing estimation results in manuscript-ready language.
documentation538
init
Fills all [FILL:] placeholders across the template to initialize a new research project. Use when setting up a freshly cloned project.
research538
i3
RAG Builder with Parallel Document Processing Vector database construction with local embeddings (zero cost) Handles PDF download, text extraction, chunking, and vector database creation Absorbed B5 (Parallel Document Processor) capabilities Use when: building RAG, creating vector database, downloading PDFs, embedding documents, batch processing Triggers: build RAG, create vector database, download PDFs, embed documents, batch PDF processing
development538
i2
Screening Assistant - AI-PRISMA 6-dimension screening with Groq LLM (100x cheaper) Supports two project types with different confidence thresholds Use when: screening papers, PRISMA screening, inclusion/exclusion criteria Triggers: screen papers, PRISMA screening, inclusion criteria, exclusion criteria, AI screening
data-ai538
i1
Paper Retrieval Agent - Multi-database paper fetching from Semantic Scholar, OpenAlex, arXiv Handles rate limiting, deduplication, and PDF URL extraction Use when: fetching papers, searching databases, paper retrieval Triggers: fetch papers, retrieve papers, database search, Semantic Scholar, OpenAlex, arXiv
data-ai538
hud
Diverga HUD (Heads-Up Display) management skill. Configure and manage the research project statusline display. Supports multiple presets: research, checkpoint, memory, minimal. Triggers: "hud", "statusline", "display settings"
testing538
handoff
Writes a session handoff report to handoffs/ with project state, work done, decisions, and next steps. Use at session end or after significant work.
testing538
general-equilibrium-model-builder
Build and solve Walrasian general equilibrium models with theory derivations and Julia computation
development538
freeze-check
Checks whether registered notebooks have current, stale, or missing outputs. Use before rendering or to verify freshness.
testing538
figures-gallery
Generates an HTML gallery of all project figures with captions and source notebooks. Use when reviewing figures.
development538
f5
Humanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation, before final export, for quality assurance Triggers: verify humanization, check transformation, validate changes
development538
execute
Executes all registered notebooks, strips noisy cell metadata, and syncs Jupytext pairs. Use when asked to re-run notebooks or refresh outputs.
data-ai538
event-study
Use this skill whenever the user wants to conduct an event study, create event study plots, test for parallel trends, implement difference-in-differences designs, or work with any panel data estimation that involves pre/post treatment comparisons. Trigger on phrases like "event study", "parallel trends", "pre-trends", "dynamic treatment effects", "leads and lags", "TWFE", "two-way fixed effects", "staggered adoption", "staggered treatment", "difference-in-differences", "DiD", "Sun and Abraham", "Callaway and Sant'Anna", "de Chaisemartin", "Borusyak", "did_multiplegt", "fixest", "did2s", "bacon decomposition", or any reference to plotting coefficients around a treatment event. Also trigger when the user uploads panel data and wants to estimate treatment effects with variation in treatment timing. All code is in R.
development538
env-snapshot
Captures tool versions, packages, and kernel info as a reproducibility record in notes/. Use when documenting the environment.
tools538
econ-intro-writing
Guide for writing the introduction to an academic economics paper. Use this skill whenever the user asks for help writing, drafting, revising, or structuring an introduction to an economics paper - whether empirical micro, development economics, applied economics, or related fields. Also trigger when the user mentions "intro," "introduction section," "opening paragraphs," or asks how to motivate, frame, or present their research question in a paper. This skill synthesizes best practices from David Evans (CGDev), Keith Head, Claudia Sahm, Marc Bellemare, and Deirdre McCloskey.
development538
anti-hallucination
ALWAYS activate this skill. Apply these rules to every task regardless of domain. This skill governs how Claude Code verifies information, writes code, references documentation, and avoids fabricating functions, arguments, APIs, file paths, data structures, or facts. These rules override any inclination to guess.
tools538
doctor
System diagnostics and health checks for Diverga plugin. OpenClaw-style Check-Report-Fix pattern with 5-layer diagnostics. Triggers: /diverga:doctor, diverga doctor, system check, diagnose, 진단
tools538
devils-advocate
Challenge a slide deck design with 5-7 specific pedagogical questions. Checks ordering, prerequisites, gaps, alternatives, notation conflicts, cognitive load, and book readiness.
development538
deploy
Render Quarto slides and sync to docs/ for GitHub Pages deployment. Use when deploying lecture slides after making changes.
devops538
deep-research
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.
development538
data-audit
Scans notebooks for data file references and verifies each file exists on disk. Use when checking for broken data paths.
testing538
data-analysis
End-to-end R data analysis workflow from exploration through regression to publication-ready tables and figures
data-ai538
academic-writing
Activate when the user is drafting any academic economics content from scratch (e.g., outlines, abstracts, introductions, data/methods/identification sections, results narratives, conclusions, referee responses, table/figure captions) and needs economics-specific structure, phrasing options, and quality checks to produce publication-ready prose.
testing538
beamer-presentation
Create academic presentations in Beamer with professional themes
content-media538
bib-check
Cross-checks citation keys in index.qmd against references.bib, reporting missing, orphaned, and duplicate entries. Use when verifying citations.
testing538
c2
VS-Enhanced Qualitative Design Consultant with Ethnography & Action Research Enhanced VS 3-Phase process: Avoids overused phenomenology, proposes context-optimal qualitative strategies Absorbed H1 (Ethnographic Research Advisor) and H2 (Action Research Facilitator) capabilities Use when: selecting qualitative research design, planning phenomenology/grounded theory/case study/ethnography/action research Triggers: phenomenology, 현상학, grounded theory, 근거이론, case study, 사례연구, narrative inquiry, ethnography, 민족지, action research, 실행연구, qualitative design
testing538
stata-skill-contributor
Guide for contributing to the stata-skill project. Use when the user wants to run the eval pipeline, analyze test results, improve reference docs, add new package documentation, or work on roadmap items. Covers the testing infrastructure, multi-agent analysis workflow, cost estimates, and links to prior eval results and improvement history.
testing538
stata-regression
Run regression analyses in Stata with publication-ready output tables.
tools538
stata-c-plugins
Develop high-performance C/C++ plugins for Stata using the stplugin.h SDK. Use when the user asks to create a Stata plugin, write C/C++ code for Stata, accelerate a Stata command with C, build cross-platform Stata plugins, or translate/port a Python or R package into Stata. Covers the full lifecycle: SDK setup, data flow, memory safety, .ado wrappers with preserve/merge, cross-platform compilation, performance optimization (pthreads, pre-sorted indices, XorShift RNG), debugging, and distribution via net install. Also includes a translation workflow for porting Python/R packages to Stata — wrapping existing C++ backends when available, or writing C from scratch when not.
tools538
stata-data-cleaning
Clean and transform messy data in Stata with reproducible workflows
testing538
humanize
Humanization Pipeline Orchestrator v3.1 - Multi-pass 4-layer transformation pipeline Orchestrates G5 (Auditor), G6 (Humanizer), F5 (Verifier) in sequential passes Enforces checkpoints between every pass with mandatory AskUserQuestion Supports conservative (L1-2), balanced (L1-3), balanced-fast (L1-3 merged), aggressive (L1-4) modes Rich Checkpoint v2.0: section-level scores, selective humanization, target auto-stop G5+F5 parallel execution, section-selective humanization Triggers: humanize, humanize my draft, humanize manuscript, make natural, remove AI patterns Korean triggers: 휴먼화, 자연스럽게, AI 패턴 제거
development538
check-env
Verifies required tools (Quarto, uv, Python, R, Stata, TeX) and Jupyter kernels are installed. Use when setting up or troubleshooting.
tools538
cite
Finds a paper by title, author, or DOI, adds BibTeX to references.bib, and shows citation syntax. Use when adding a reference.
testing538
codebook
Auto-generates a Markdown codebook from a dataset (CSV, DTA, Excel, Parquet) with types and summary statistics. Use when documenting variables.
development538
identification-theory
DAG and potential outcomes frameworks for causal mediation identification
development538
d2
Agent D2 - Data Collection Specialist - Interviews, Focus Groups & Observation. Covers protocol development, question design, probing strategies, transcription conventions, and systematic observation. Absorbed D3 (Observation Protocol Designer) capabilities.
development538
cross-disciplinary-ideation
Field connection mapping and systematic ideation for method transfer
testing538
commit
Stage, commit, create PR, and merge to main. Use for the standard commit-PR-merge cycle.
data-ai538
research-coordinator
Research Coordinator v12.0 - Human-Centered Edition (Systematic Review Automation) Context-persistent platform with 24 specialized agents across 9 categories (A-G, I, X). Features: Human Checkpoints First, VS Methodology, Paradigm Detection, Systematic Review Automation. Supports quantitative, qualitative, mixed methods research, and systematic review automation. Language: English. Responds in Korean when user input is Korean. Triggers: research question, theoretical framework, hypothesis, literature review, meta-analysis, effect size, IRB, PRISMA, statistical analysis, sample size, bias, journal, peer review, conceptual framework, visualization, systematic review, qualitative, phenomenology, grounded theory, thematic analysis, mixed methods, interview, focus group, ethnography, action research, paper retrieval, AI screening, RAG builder, humanization, AI pattern detection
tools538
mediation-meta-analyst
Meta-analysis frameworks and methods for mediation studies
development538
lit-review
Structured literature search and synthesis with citation extraction and gap identification
testing538
computational-inference
Computational methods for statistical inference and optimization
tools538
simulation-architect
Design and implementation of comprehensive simulation studies
content-media538
setup
Diverga v12.0 setup wizard. 4-step researcher profile setup. Captures discipline, experience, tools, database access, and Agent Teams + VS Arena preference. Triggers: setup, configure, 설정, install
tools538
sensitivity-analyst
Sensitivity analysis frameworks and assumption-testing methods
development538
review-paper
Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections
testing538
research-ideation
Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset
testing538
research-ideation
Generate research questions from economic phenomena
research538
skills/28-maxwell2732-paper-replicate-agent-demo/dot-claude/skills/replicate-paper
# Skill: /replicate-paper **Trigger:** `/replicate-paper [paper.pdf] [data.csv|dta]` or "replicate this paper" **Purpose:** Full 6-phase autonomous replication of a biomedical/epidemiology paper using UK Biobank or similar data. Produces Python and R scripts plus a polished validation report. --- ## Invocation ``` /replicate-paper papers/AuthorYear.pdf data/ukb_extract.csv ``` Or with just: "replicate this paper" (Claude will ask for paths if not provided). --- ## The 6-Phase Pipeline #
development538
render
Runs the clean render pipeline (HTML, PDF, Word) via scripts/render.sh. Use when asked to render, build, or compile the manuscript.
development538
e3
Agent E3 - Mixed Methods Integration Specialist - Qual-Quant data integration and meta-inference. Covers joint display creation, integration strategies, and legitimation techniques.
testing538
c3
Agent C3 - Mixed Methods Design Consultant Comprehensive mixed methods research design specialist covering sequential, concurrent, embedded, and multiphase designs with Morse notation. Core Capabilities: - Sequential Explanatory (QUAN → qual): Explain quantitative results - Sequential Exploratory (QUAL → quan): Develop instruments - Convergent Parallel (QUAN + QUAL): Comprehensive understanding - Embedded (QUAN(qual)): Secondary strand addresses different question - Multiphase: Long-term projects with iterative phases - Morse notation interpretation and recommendation
development538
help
Diverga help guide - displays all 24 agents across 9 categories, commands, and usage examples. Triggers: help, guide, how to use, 도움말
development538
algorithm-designer
Design and document statistical algorithms with pseudocode and complexity analysis
development538
statistical-software-qa
Quality assurance and testing protocols for statistical software
testing538
method-transfer-engine
Six-phase protocol for adapting methods across research domains
data-ai538
new-slide-deck
Creates a Quarto revealjs slide deck in slides/ with the project style guide. Use when a presentation is needed.
documentation538
literature-note
Creates a structured annotation note in references/ with sections for research question, data, findings, and relevance. Use when documenting a paper.
documentation538
draft-section
Drafts academic prose for a manuscript section from bullet points or an outline. Use when writing or expanding a section.
research538
abstract
Reads the manuscript and notebooks to generate a structured abstract. Use when writing or updating the abstract.
tools538
review-r
Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files.
development538
methods-paper-writer
JASA/Biometrika manuscript structure with VanderWeele notation standards
documentation538
econ-abstract-writing
Guide for writing the abstract of an academic economics paper. Use this skill whenever the user asks for help writing, drafting, revising, or structuring an abstract for an economics paper - whether empirical micro, development economics, applied economics, or related fields. Also trigger when the user mentions "abstract," "paper summary," or asks how to compress their findings into a short description. This skill synthesizes best practices from David Evans (CGDev), Marc Bellemare, and patterns observed in top economics journals (AER, QJE, AEJ: Applied, etc.).
development538
asymptotic-theory
M-estimation, influence functions, and semiparametric efficiency theory for causal inference
testing538
robustness-table
Generates robustness check code and formats results as a combined table. Use for sensitivity analysis.
development538
i0
Systematic Review Pipeline Orchestrator - Coordinates systematic literature review automation Manages the complete 7-stage PRISMA 2020 pipeline from research question to RAG system Delegates to specialized agents (I1, I2, I3) while enforcing human checkpoints Use when: conducting systematic reviews, building knowledge repositories, PRISMA automation Triggers: systematic review, PRISMA, literature review automation
tools538
g6
VS-Enhanced Academic Style Humanizer - Transforms writing patterns to achieve authentic scholarly voice Applies transformations from G5 analysis to create natural academic prose Use when: improving AI-assisted writing quality, preparing manuscripts, enhancing scholarly voice Triggers: humanize, transform, make natural, improve writing quality, improve style
development538
g1
VS-Enhanced Journal Matcher with Journal Intelligence MCP — Real-time journal data pipeline with checkpoint-based human decisions. Uses OpenAlex + Crossref APIs for live metrics. Light VS applied: Avoids IF-centric recommendations + multi-dimensional matching strategy Use when: selecting target journals, planning submissions, comparing publication options Triggers: journal, submission, impact factor, academic journal, publication, submit
tools538
g5
VS-Enhanced Academic Style Auditor - Academic Writing Quality Analysis Identifies 24+ writing patterns that reduce scholarly quality, adapted from Wikipedia AI Cleanup guidelines Use when: checking drafts before submission, improving academic writing quality, preparing for style improvement Triggers: writing quality, style audit, pattern check, writing review, academic style check
testing538
e2
Agent E2 - Qualitative Coding Specialist - Systematic coding and theme development. Covers codebook development, coding strategies, saturation assessment, and CAQDAS guidance.
development538
g2
Publication Specialist - Writing, Review, Pre-registration & Quality Assurance Light VS applied: Avoids template-based writing + audience-specific message design Absorbed G3 (Peer Review Strategist), G4 (Pre-registration Composer), F1-F3 (Quality functions) capabilities Use when: writing abstracts, creating summaries, peer review response, pre-registration, reporting checklists, reproducibility Triggers: abstract, plain language, press release, summary, communication, peer review, revision, pre-registration, OSF, PRISMA, CONSORT, reproducibility
testing538
e1
E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include qualitative analysis (thematic, grounded theory, content, narrative) Absorbed E4 (Analysis Code Generator) and E5 (Sensitivity Analysis - Primary Study) capabilities Use when: selecting statistical/qualitative methods, interpreting results, checking assumptions, generating code, sensitivity analysis Triggers: statistical analysis, ANOVA, regression, t-test, power analysis, assumption checking, effect size, thematic analysis, grounded theory, content analysis, narrative analysis, NVivo, ATLAS.ti, coding, qualitative data, R code, Python code, SPSS syntax, sensitivity analysis, robustness check
development538
diverga
Diverga Dashboard - Live configuration status and feature overview. 24 specialized agents across 9 categories for social science research. VS methodology prevents mode collapse. Human checkpoints enforce human-in-the-loop decisions. Triggers: /diverga, diverga dashboard, diverga status
development538
d4
Agent D4 - Measurement Instrument Developer - Scale construction and psychometric validation. Covers item development, validity evidence, and reliability testing for social science research.
development538
c1
VS-Enhanced Quantitative Design Consultant with Materials & Sampling Enhanced VS 3-Phase process: Avoids obvious experimental designs, proposes context-optimal quantitative strategies Absorbed C4 (Experimental Materials Developer) and D1 (Sampling Strategy Advisor) capabilities Use when: selecting quantitative research design, planning experimental/survey methodology, power analysis, developing materials, sampling Triggers: RCT, quasi-experimental, experimental design, survey design, power analysis, sample size, factorial design, materials, stimuli, sampling strategy
development538
b1
VS-Enhanced Literature Review Strategist - Comprehensive support for multiple review methodologies Full VS 5-Phase process: Prevents Mode Collapse and presents creative search strategies Supports: Systematic Review (PRISMA 2020), Scoping Review (JBI/PRISMA-ScR), Meta-Synthesis, Realist Synthesis, Narrative Review, Rapid Review Use when: conducting any type of literature review, systematic reviews, meta-analyses, scoping reviews, finding prior research Triggers: literature review, PRISMA, systematic review, scoping review, meta-synthesis, realist synthesis, narrative review, rapid review
development538
c5
Meta-Analysis Master with Data Integrity, Effect Size, Error Prevention & Sensitivity Multi-gate validation and workflow orchestration for meta-analysis. Absorbed C6 (Data Integrity Guard), C7 (Error Prevention Engine), B3 (Effect Size Extractor), E5 (Sensitivity Analysis - Meta) capabilities Triggers: meta-analysis, pooled effect, heterogeneity, forest plot, funnel plot, Hedges g, data integrity, effect size extraction, sensitivity analysis
data-ai538
a2
VS-Enhanced Theoretical Framework Architect with Critique & Visualization Full VS 5-Phase process: Modal theory avoidance, Long-tail exploration, differentiated framework presentation Absorbed A3 (Devil's Advocate) critique and A6 (Conceptual Framework Visualizer) capabilities Use when: building theoretical foundations, designing conceptual models, deriving hypotheses, critiquing frameworks, visualizing models Triggers: theoretical framework, 이론적 프레임워크, conceptual model, 개념적 모형, hypothesis derivation, critique, devil's advocate, 반론, visualization, diagram
development538
x1
Research Guardian - Ethics Advisory & Bias Detection across all research stages Enhanced VS 3-Phase process: Surface-level screening, deep contextual analysis, constructive recommendations Use when: reviewing research ethics, checking for bias, assessing trustworthiness, QRP screening Triggers: ethics review, IRB, bias detection, QRP, trustworthiness, research integrity, p-hacking, HARKing
development538
b2
VS-Enhanced Evidence Quality Appraiser - Prevents Mode Collapse with context-adaptive quality assessment Enhanced VS 3-Phase process: Avoids automatic tool application, delivers research-specific evaluation strategies Use when: appraising study quality, assessing risk of bias, grading evidence Triggers: quality appraisal, RoB, GRADE, Newcastle-Ottawa, risk of bias, methodological quality
tools538
econ-visualization
Create publication-quality charts and graphs for economics papers.
testing538
universal-ma-codebook
Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review pipeline. Triggers: meta-analysis, codebook, data extraction, Hedges g, effect size
development538
causal-inference
Production-grade Bayesian causal inference with PyMC, CausalPy, and DoWhy. Enforces DAG-first thinking, mandatory user checkpoints for assumptions, design-specific refutation, and defensible reporting with causal language guardrails. Trigger on: causal inference, causal effect estimation, treatment effects, counterfactuals, difference-in-differences (DiD), synthetic control, regression discontinuity (RDD), interrupted time series (ITS), instrumental variables (IV), propensity scores, DAGs, causal graphs, confounders, backdoor criterion, do-calculus, interventional distributions, pm.do(), pm.observe(), CausalPy, DoWhy, mediation analysis, refutation, sensitivity analysis, parallel trends, placebo tests, or any question of the form "does X cause Y" or "what is the effect of X on Y."
testing392
stata-accounting-research
STATA code pattern library for empirical archival accounting research. Provides tested syntax from 126 peer-reviewed JAR (Journal of Accounting Research) replication files (2017-2025). Use when the user asks procedural questions like "How do I implement [method]?" or "Show me code for [technique]" — including: entropy balancing, propensity score matching (PSM), difference-in-differences (DiD), regression discontinuity (RDD), instrumental variables (IV), event studies (CAR/BHAR), survival analysis, Fama-MacBeth regressions, bootstrap, quantile regression, reghdfe/xtreg/areg, clustering standard errors, fixed effects, esttab/outreg2 table formatting, winsorization, leads/lags. Users can specify their variables (e.g., treatment, outcomes, controls) and receive adapted syntax. NOTE: This skill provides code patterns from published papers, not research design advice.
development392
python-econ-computing
Use when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis
development392
academic-paper
Academic paper writing skill with 12-agent pipeline. v2.5: Style Calibration (learn author's writing voice from past papers) + Writing Quality Check (writing quality checklist for natural prose). Supports IMRaD, literature review, theoretical, case study, policy brief, and conference paper structures. APA 7.0 (default), Chicago, MLA, IEEE, Vancouver citation formats. Bilingual abstracts (zh-TW + EN). Multi-format output (LaTeX, DOCX, PDF, Markdown). Triggers on: write paper, academic paper, paper outline, write abstract, revise paper, check citations, convert to LaTeX, guide my paper, parse reviews, revision roadmap, 寫論文, 學術論文, 論文大綱, 寫摘要, 修改論文, 檢查引用, 引導我寫論文, 帶我規劃論文, 逐章規劃, 論文架構, 審查意見, 修訂路線圖.
development392
academic-pipeline
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 9-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
testing392
assess-outline
Assesses a research paper outline (.qmd file) against structured criteria from Kosuke Imai's empirical research guide. Evaluates the abstract and section outline for: research question clarity, stated contributions, hypotheses and testable implications, data description, planned results and inferential approach, and robustness checks. Detects causal papers from the abstract and conditionally assesses identification strategy only when causal framing is present. Produces a structured markdown report with PASS/PARTIAL/FAIL assessments and actionable suggestions. Use when asked to assess, evaluate, review, or check a paper outline, abstract-and-outline, or research plan in a .qmd file.
testing392
latex-to-quarto
Converts LaTeX article-class .tex documents to Quarto .qmd format for multi-format publishing (HTML, PDF, Word). Use when asked to convert, port, migrate, or translate a .tex LaTeX file to Quarto; when porting an academic paper or manuscript from LaTeX to Quarto; when a .tex document needs to render to HTML, Word, or Typst PDF. Covers preamble → YAML front matter, section headings, text formatting, math, citations (natbib/biblatex), cross-references, figures, tables, lists, footnotes, hyperlinks, and special characters.
development392
proofread
Expert copy editor for Quarto (.qmd) files. Checks grammar, spelling, punctuation, and academic writing quality. Produces a structured markdown report organized by document section — never modifies the source file. Use when asked to proofread, check grammar, fix typos, or review prose in a .qmd document. For APSA style rules (numbers, citations, capitalization, abbreviations, neutral language), use the apsa-style skill instead. Supports an optional output-file argument and an optional @sec-label argument to restrict checking to one section.
development392
pseudo-merge
Takes a proofread or apsa-style report file (or any markdown file using **Original:** / **Recommended:** syntax) and rewrites the original source file with git merge conflict markers so the user can accept or reject each suggested edit using VS Code or Positron's built-in merge conflict UI. Branch names are "original" and "claude-edits". Use when asked to apply edits, insert conflict markers, or set up merge resolution for a copy-edit report. Supports an optional @sec-label argument to restrict markers to one section.
development392
markdown-unwrap
Unwraps hard-wrapped markdown files so that each sentence ends with a newline instead of mid-sentence line breaks. Joins continuation lines within a paragraph into single lines, then re-breaks at sentence boundaries (period, question mark, exclamation point). Preserves blank lines, headings, fenced code blocks, block quotes, and list items. Use when asked to unwrap text, fix line breaks, reflow sentences, or clean up hard-wrapped markdown or .qmd files.
development392
quarto-clean
Cleans a Quarto (.qmd) file by replacing LaTeX holdovers with proper Quarto/Pandoc syntax so the document renders correctly to HTML, PDF (Typst/LaTeX), and Word. Fixes citations (\citep → [@key]), cross-references (\ref → @label), figures (\includegraphics → markdown), tables, text formatting (\textbf → **bold**), inline math (\( \) → $ $), hyperlinks (\href → [text](url)), footnotes (\footnote → ^[]), list environments, section headings, and R Markdown chunk options (dot-style → #| YAML). Use when asked to clean, fix, modernize, or port a Quarto or R Markdown document; when LaTeX commands appear in a .qmd file; when a document fails to render to Word or Typst; or when citations/cross-references do not appear in non-LaTeX output.
development392
write-well
Prose quality checker for Quarto (.qmd) files, grounded in William Zinsser's *On Writing Well* (30th Anniversary Edition). Checks for clutter, weak verbs, hollow qualifiers, clichés, inflated academic voice, poor leads and endings, pronoun and tense inconsistency, and unclear explanation. Produces a structured markdown report organized by document section — never modifies the source file. Use when asked to improve prose quality, tighten writing, reduce clutter, or apply Zinsser's writing principles to a draft. For grammar and punctuation, use the proofread skill. For APSA style rules, use the apsa-style skill. Supports an optional output-file argument and an optional @sec-label argument to restrict checking to one section.
tools392
apsa-style
APSA style checker for Quarto (.qmd) files. Checks numbers, capitalization, abbreviations, italics, in-text citations, titles of works, neutral and unbiased language, and APSA-specific terminology against the APSA Style Manual for Political Science (2018, updated 2023). Produces a structured markdown report organized by document section — never modifies the source file. Use when asked to check APSA style, fix citations, review capitalization, check number formatting, or flag biased language in a .qmd document. For grammar, spelling, and punctuation, use the proofread skill instead. Supports an optional output-file argument and an optional @sec-label argument to restrict checking to one section.
development392
latex-to-typst
Translates LaTeX documents (.tex) to Typst (.typ), focusing on article-class documents. Use when asked to convert, port, migrate, or translate LaTeX to Typst. Covers document structure, text formatting, page layout, math equations and symbols, figures, tables, TikZ-to-CeTZ diagrams, bibliography, cross-references, footnotes, and code blocks. Includes comprehensive symbol mapping tables.
development392
paper-summary
Writes expert academic paper summaries for social science research, particularly political science and applied statistics. Use when asked to summarize, review, or create a reading summary of an academic paper, PDF, or research article. Accepts a file (PDF or text format) or a directory of papers. Produces a structured markdown summary — approximately 400–600 words — covering primary contributions, major questions and answers with point estimates, methods and data, and limitations and robustness. Includes BibTeX citation retrieved from Google Scholar and keyword metadata.
development392
academic-paper-reviewer
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, and Socratic guided modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review.
development392
redistricting-analysis
Redistricting analysis in R using the redistverse ecosystem. Use whenever the user is working with redist, redistmetrics, ggredist, geomander, adj, alarmdata, PL94171, censable, easycensus, tinytiger, baf, rict, or redistio. Covers the complete pipeline: Census and spatial data loading, adjacency graph construction, SMC/MCMC simulation, constraints (population balance, county splits, VRA compliance), convergence diagnostics, plan metrics (compactness, partisan fairness, splits), visualization, summary tables, and interactive plan drawing. Invoke whenever the user mentions redistricting, gerrymandering, district plans, simulation ensembles, or any redistverse package by name.
devops392
pyfixest
Fast high-dimensional fixed effects: OLS, Poisson, IV with multi-way FE; DiD (TWFE, did2s, Sun-Abraham); clustered SEs; etable/coefplot/iplot. Use for FE regressions or DiD. For panel RE/between use linearmodels; for GLM without FE use statsmodels.
data-ai360
stata-python-translation
Stata-to-Python translation for data analysis. Maps Stata commands (reghdfe, xtreg, ivregress, margins, esttab, svy:) to Python (polars, pyfixest, statsmodels, svy). Use when user has Stata background or requests Stata-equivalent code comments.
development360
skill-authoring
Guide for creating and auditing DAAF skills (SKILL.md). Covers frontmatter, metadata vocabulary, progressive disclosure, decision trees, reference files. Use when creating, reviewing, or debugging skill loading. For agent files, use agent-authoring.
development360
scikit-learn
Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines. For unsupervised analysis, classification, or prediction. For econometric regression use pyfixest/statsmodels.
testing360
r-python-translation
R-to-Python translation for data analysis. Maps R packages (tidyverse, ggplot2, fixest, survey, sf, plm) to Python equivalents (polars, plotnine, pyfixest, svy, geopandas). Use when user has R background or requests R-equivalent code comments.
development360
svy
Complex survey analysis: strata/PSU/weights, variance estimation (Taylor, BRR, jackknife, bootstrap), survey GLM, domain analysis, calibration. Polars-native. Use for NHANES, CPS, ACS PUMS, BRFSS, DHS. Non-survey regression: statsmodels/pyfixest.
data-ai360
science-communication
Translating technical findings for non-technical audiences. Narrative frameworks (Pyramid Principle, SCQA), plain-language translation, executive summaries, policy briefs, causal language. Use when presenting to stakeholders or reviewing deliverables
development360
statsmodels
Statistical modeling: OLS/WLS/GLS, GLM (logit, probit, Poisson), time series (ARIMA, VAR), mixed effects, diagnostics. Formula API. Use for regressions without fixed effects, GLMs, or time series. For FE/DiD use pyfixest; panel/IV use linearmodels.
development360
education-data-source-saipe
SAIPE — annual Census poverty estimates for school districts (Portal; county/state not in Portal). Use for district poverty, Title I context, or trends. ~18-month lag. No race/ethnicity disaggregation at district level — use ACS 5-year for that.
testing302
education-data-source-nhgis
NHGIS — census geography crosswalks via Portal: links schools (ncessch) and colleges (unitid) to tracts, block groups, CBSAs (1990-2020). Census demographics NOT in Portal — access NHGIS directly. Use for linking education data to census geography.
data-ai302
education-data-source-nacubo
NACUBO endowment data (~650 institutions, 2012-2022). Portal: 7 columns only (total endowment, per-FTE, YoY change). Use for endowment size/trends. Full investment/spending needs direct NACUBO access. For all-institution coverage use IPEDS finance.
data-ai302
education-data-source-fsa
FSA — Title IV aid at institution level (~5,500 institutions, 1999-2021). Pell Grants, Direct/PLUS loans, campus-based aid, financial responsibility scores, 90/10 metrics. Use for aid distribution, loan volume, or for-profit analysis. By unitid.
testing302
education-data-source-nccs
NCCS — Form 990 data for private nonprofit colleges (Portal: IPEDS-matched, 1993-2016). Revenue, expenses, assets, endowment, governance beyond IPEDS. Use when IRS financial depth needed. Portal ends 2016; public institutions excluded (no Form 990).
development302
education-data-source-edfacts
EDFacts — K-12 outcomes: assessment proficiency, ACGR graduation rates, ESSA accountability at school/district level (2009-2020). Within-state trends and subgroup gaps. Complements CCD with outcome data. Cannot compare across states — use NAEP.
testing302
education-data-source-campus-safety
CSS — annual Clery Act crime/fire safety for Title IV institutions. Portal: hate crimes only (2005-2021); primary offenses, VAWA, arrests, fire safety need ope.ed.gov directly. Use for campus crime analysis. Identified by IPEDS unitid.
development302
education-data-query
Downloads education datasets from configured mirror sources (parquet/CSV) with local Polars filtering. Use when writing fetch scripts or retrieving CCD, IPEDS, CRDC, SAIPE data. Load after education-data-explorer — retrieval here, not discovery.
data-ai302
plotnine
plotnine static visualization (ggplot2 syntax for Python). Geoms, aesthetics, scales, coordinates, facets, themes. Use for static publication-quality figures with grammar-of-graphics syntax. For interactive charts use plotly; for maps use geopandas.
development302
plotly
Plotly interactive visualization. Express and Graph Objects: scatter, line, bar, heatmap, 3D, geographic charts; subplots; styling; export. Use when interactivity (hover/zoom) is needed. For static figures use plotnine; for GIS use geopandas.
tools302
geopandas
Spatial data: GeoDataFrames, spatial joins, CRS/projections, choropleth/interactive maps, spatial autocorrelation, PySAL. Use for geographic data, spatial files (Shapefile, GeoPackage, GeoParquet), or spatial stats. For charts without GIS use plotly.
data-ai302
marimo
Reactive Python notebook system. Cell reactivity, UI elements (sliders, dropdowns, tables), SQL cells, plotting, app deployment. Use when assembling Stage 9 notebooks, building data apps, or converting Jupyter to marimo .py format.
development302
education-data-source-scorecard
College Scorecard — post-enrollment outcomes linking aid records to IRS/Treasury earnings. Earnings, loan repayment, debt via six Portal sub-datasets. Use when tax-record-based earnings needed. Tracks only Title IV aid recipients, not all students.
testing302
education-data-source-pseo
PSEO — Census data linking graduates to employment via LEHD wage records. Earnings percentiles at 1/5/10 years post-graduation by institution, degree, CIP. Use for graduate earnings analysis. Coverage: ~29% of graduates from ~31 states.
testing302
education-data-source-crdc
CRDC — biennial OCR survey of all U.S. public schools (2011-2021). Discipline, course access, harassment, restraint/seclusion by race/sex/disability/EL. Use for civil rights and equity analysis. 2020-21 COVID-impacted; 2011-14 sampled, not universe.
testing302
election-data-source-countypres
County Presidential Returns 2000-2024 (MIT MEDSL). Vote shares, party trends, turnout by county_fips (joins census/education data). Requires HARVARD_DATAVERSE_API_KEY. Critical: mode='TOTAL' drops ~1K counties post-2020 — use 3-pattern reconstruction
development302
education-data-source-eada
EADA — college athletics gender equity (~2,000+ institutions, 2002-2021). Participation, coaching, salaries, expenses, revenues, athletic aid by gender. Not Title IX compliance data. No sector column; join IPEDS on unitid for institution type.
testing302
education-data-explorer
Discovers education data from Urban Institute Portal: endpoints, variables, year coverage, join keys (CCD, IPEDS, CRDC, Scorecard, SAIPE). Use to map questions to data. Load before education-data-query — discovery here, download there.
data-ai302
education-data-source-ccd
CCD — federal universe of all U.S. public K-12 schools (~100K) and districts (~18K). Enrollment, staffing, finance, directory data (1986-present). Use for public school analysis by grade/race/sex. Public only; excludes private and postsecondary.
data-ai302
education-data-source-meps
MEPS — Urban Institute modeled school-level poverty (% at 100% FPL), from CCD + SAIPE (public schools, 2009-2022, 2-3yr lag). Use when FRPL is unreliable due to CEP. Consistent cross-state measurement. Public schools only.
data-ai302
education-data-source-ipeds
IPEDS — primary federal postsecondary data (~6,500 institutions, 1980-present): enrollment, completions, graduation rates, finance, aid, admissions, HR. For college/university analysis. Grad rates = first-time full-time; finance needs GASB/FASB care.
data-ai302
linearmodels
Panel data, IV/GMM, system regression. PanelOLS (FE/RE), BetweenOLS, Fama-MacBeth, IV2SLS/LIML/GMM, SUR, 3SLS, Driscoll-Kraay SEs. Use for RE/between, system estimation, or GMM. Complements pyfixest (FE + DiD) and statsmodels (GLM + time series).
data-ai302
polars
Polars DataFrame library for high-performance data manipulation. Lazy/eager execution, expressions, I/O (CSV, Parquet, JSON), aggregations, joins, string/datetime ops, pandas interop. Use for Polars DataFrames or reading/writing Parquet files.
development302
workflows:brainstorm
Explore methodological approaches through structured analysis before planning implementation
data-ai271
talk
Create and audit presentations (Beamer or Quarto RevealJS). Combines talk creation, visual audit, and compilation. Replaces /create-talk, /visual-audit, /compile-latex (for talks).
development271
submit
Submission pipeline — journal targeting, replication package, audit, and final gate. Replaces /submit, /target-journal, /audit-replication, /data-deposit.
testing271
causal-inference-mixtape
This skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement instrumental variables", "run a regression discontinuity design", "build a synthetic control model", "implement propensity score matching", "write parallel trends test", "implement Bacon decomposition", or needs code templates for causal inference methods in Python, R, or Stata. Based on Scott Cunningham's Causal Inference: The Mixtape.
development271
education-data-context
Interpretation guidance for Urban Institute Portal datasets. Coded values (-1/-2/-3), year definitions, grade encoding, suppression, licensing, cross-source joins. Use when interpreting Portal data before analysis. Routes to source-specific skills.
development271
data-scientist
Data science methodology for Python research: EDA, validation, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP, supervised ML, geospatial, visualization. Method selection guidance. For syntax, load tool-specific skills.
tools271
visual-audit
Perform adversarial visual audit of Quarto or Beamer slides checking for overflow, font consistency, box fatigue, and layout issues.
testing271
validate-bib
Validate bibliography entries against citations in all lecture files. Find missing entries and unused references.
testing271
research-ideation
Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset
testing271
translate-to-quarto
Translate Beamer LaTeX to Quarto RevealJS. Multi-phase workflow with TikZ extraction and QA.
testing271
review-r
Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files.
development271
review-paper
Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections
testing271
proofread
Run the proofreading protocol on lecture files. Checks grammar, typos, overflow, consistency, and academic writing quality. Produces a report without editing files.
testing271
pedagogy-review
Run holistic pedagogical review on lecture slides. Checks narrative arc, student prerequisites, worked examples, notation clarity, and deck pacing.
development271
lit-review
Structured literature search and synthesis with citation extraction and gap identification
testing271
learn
Extract reusable knowledge from the current session into a persistent skill. Use when you discover something non-obvious, create a workaround, or develop a multi-step workflow that future sessions would benefit from.
development271
interview-me
Interactive interview to formalize a research idea into a structured specification with hypotheses and empirical strategy
testing271
extract-tikz
Extract TikZ diagrams from Beamer source, compile to PDF, convert to SVG with 0-based indexing. Use when updating TikZ diagrams for Quarto slides.
development271
slide-excellence
Multi-agent slide review (visual, pedagogy, proofreading). Use for comprehensive quality check before milestones.
development271
deep-audit
Deep consistency audit of the entire repository infrastructure. Launches 4 parallel specialist agents to find factual errors, code bugs, count mismatches, and cross-document inconsistencies. Then fixes all issues and loops until clean. Use when: after making broad changes, before releases, or when user says "audit", "find inconsistencies", "check everything".
development271
compile-latex
Compile a Beamer LaTeX slide deck with XeLaTeX (3 passes + bibtex). Use when compiling lecture slides.
development271
validate-bib
Validate bibliography entries against citations in all manuscript files. Find missing entries and unused references.
testing271
agent-authoring
Guide for creating DAAF agent definition files. Covers 12-section template, hook registration, skills-in-frontmatter, integration checklist. Use when adding or revising agents. For SKILL.md files, use skill-authoring instead.
testing271
split-pdf
Download, split, and deeply read academic PDFs. Use when asked to read, review, or summarize an academic paper. Splits PDFs into 4-page chunks, reads them in small batches, and produces structured reading notes — avoiding context window crashes and shallow comprehension.
content-media271
qa-quarto
Adversarial Quarto vs Beamer QA. Critic finds issues, fixer applies fixes, loops until APPROVED (max 5 rounds).
testing271
proofread
Run the proofreading protocol on manuscript files. Checks grammar, typos, overflow, consistency, and academic writing quality. Produces a report without editing files.
testing271
review-paper
Comprehensive manuscript review covering argument structure, identification strategy, econometric specification, citation completeness, and potential referee objections.
testing271
stata
Comprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 17+ community packages (reghdfe, estout, did, rdrobust, etc.). Covers syntax, options, gotchas, and idiomatic patterns. Use this skill whenever the user asks you to write, debug, or explain Stata code.
development271
write
Draft academic paper sections with notation protocol, anti-hedging, and humanizer pass. Replaces /draft-paper and /humanizer.
documentation271
workflows:work
Execute research implementation plans efficiently while maintaining estimation quality and finishing features
testing271
workflows:review
Run multi-agent econometric review on estimation code, identification arguments, and research artifacts
development271
workflows:plan
Transform research descriptions into well-structured implementation plans following project conventions
research271
workflows:ideate
Divergent research ideation — generate many candidate directions, then adversarially filter to the strongest
research271
workflows:compound
Document a recently solved research problem to compound methodological knowledge
documentation271
tools
Utility commands — commit, compile, validate-bib, journal, context-status, deploy, learn. Replaces individual utility skills.
tools271
strategize
Design identification strategy or pre-analysis plan. Dispatches Strategist (proposer) and strategist-critic (validator). Replaces /identify and /pre-analysis-plan.
content-media271
review-julia
Run the Julia code review protocol on Julia scripts. Checks code quality, type stability, parallel computing patterns, and scientific computing standards. Produces a report without editing files.
development271
research-ideation
Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset.
testing271
StatsPAI_skill
Agent-native one-stop toolkit for the full empirical data-analysis pipeline in Python (v1.6+). 900+ functions, one import (`import statspai as sp`), unified API. Covers the complete loop after data cleaning — descriptive stats & EDA (sp.sumstats, sp.balance_table, sp.balance_panel), estimand-first research-question DSL (sp.causal_question), LLM-assisted DAG discovery (sp.llm_dag_propose/validate/constrained), one-call orchestration (sp.causal), classical estimators (OLS, IV, DID, staggered DID, RDD, PSM, SCM), ML causal (DML, Causal Forest, Meta-Learners, TMLE), neural causal, text causal (sp.causal_text), and diagnostics + robustness (sp.diagnose, sp.spec_curve, sp.honest_did). Use when the user asks to run a full empirical analysis, decide which estimator to use ("DID vs RD vs IV?"), explore models via DAG, estimate treatment effects, evaluate policy, run observational studies, or apply any of the listed econometric methods in Python. Every function returns structured result objects with self-describing schemas for LLM-driven workflows. Data cleaning (missing values, type coercion, merges) is *not* covered — handle that with pandas first, then enter StatsPAI.
tools271
new-project
Full research pipeline from idea to paper. Orchestrates all phases — discovery, strategy, analysis, writing, peer review, and submission. Use when starting a new research project from scratch.
devops271
newproject
Scaffold a new research project with standard directory structure, CLAUDE.md template, and documented README. Use this at the start of every new project to ensure consistent organization.
documentation271
lit-review
Structured literature search and synthesis with citation extraction and gap identification.
testing271
literature-review
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
development271
interview-me
Interactive interview to formalize a research idea into a structured specification with hypotheses and empirical strategy.
testing271
econometrics-r
R-based econometric analysis for academic research. Use when writing R code for panel data, difference-in-differences, instrumental variables, spatial econometrics, or regression analysis. Covers data.table, fixest, sf, modelsummary, and publication-ready outputs.
development271
econometrics-julia
Julia-based econometric and structural estimation for computationally intensive tasks. Use for structural models, maximum likelihood, GMM, numerical optimization, simulations, and high-performance computing. Covers DataFrames.jl, FixedEffectModels.jl, Optim.jl, and performance optimization.
data-ai271
discover
Discovery phase combining research interviews, literature search, data discovery, and ideation. Routes to appropriate agents based on arguments. Replaces /interview-me, /lit-review, /find-data, /research-ideation.
data-ai271
review
All quality reviews — routes to appropriate critics based on target file type and flags. Replaces /paper-excellence, /proofread, /econometrics-check, /review-r, /review-paper.
testing271
devils-advocate
Challenge research design decisions, assumptions, and methodology choices with specific critical questions. Helps strengthen the paper before submission.
development271
latex-document
Universal LaTeX document skill: create, compile, and convert any document to professional PDF with PNG previews. Supports resumes, reports, cover letters, invoices, academic papers, theses/dissertations, academic CVs, presentations (Beamer), scientific posters, formal letters, exams/quizzes, books, cheat sheets, reference cards, exam formula sheets, fillable PDF forms (hyperref form fields), conditional content (etoolbox toggles), mail merge from CSV/JSON (Jinja2 templates), version diffing (latexdiff), charts (pgfplots + matplotlib), tables (booktabs + CSV import), images (TikZ), Mermaid diagrams, AI-generated images, watermarks, landscape pages, bibliography/citations (BibTeX/biblatex), multi-language/CJK (auto XeLaTeX), algorithms/pseudocode, colored boxes (tcolorbox), SI units (siunitx), Pandoc format conversion (Markdown/DOCX/HTML ↔ LaTeX), and PDF-to-LaTeX conversion of handwritten or printed documents (math, business, legal, general). Compile script supports pdflatex, xelatex, lualatex with auto-detection, latexmk backend, texfot log filtering, PDF/A output, and verbosity control (--verbose/--quiet). Empirically optimized scaling: single agent 1-10 pages, split 11-20, batch-7 pipeline 21+. Use when user asks to: (1) create a resume/CV/cover letter, (2) write a LaTeX document, (3) create PDF with tables/charts/images, (4) compile a .tex file, (5) make a report/invoice/presentation, (6) anything involving LaTeX or pdflatex, (7) convert/OCR a PDF to LaTeX, (8) convert handwritten notes, (9) create charts/graphs/diagrams, (10) create slides, (11) write a thesis or dissertation, (12) create an academic CV, (13) create a poster, (14) create an exam/quiz, (15) create a book, (16) convert between document formats (Markdown, DOCX, HTML to/from LaTeX), (17) generate Mermaid diagrams for LaTeX, (18) create a formal business letter, (19) create a cheat sheet or reference card, (20) create an exam formula sheet or crib sheet, (21) condense lecture notes/PDFs into a cheat sheet, (22) create a fillable PDF form with text fields/checkboxes/dropdowns, (23) create a document with conditional content/toggles (show/hide sections), (24) generate batch/mail-merge documents from CSV/JSON data, (25) create a version diff PDF (latexdiff) highlighting changes between documents, (26) create a homework or assignment submission with problems and solutions, (27) create a lab report with data tables, graphs, and error analysis, (28) encrypt or password-protect a PDF, (29) merge multiple PDFs into one, (30) optimize/compress a PDF for web or email, (31) lint or check a LaTeX document for common issues, (32) count words in a LaTeX document, (33) analyze document statistics (figures, tables, citations), (34) fetch BibTeX from a DOI, (35) convert a Graphviz .dot file to PDF/PNG, (36) convert a PlantUML .puml file to PDF/PNG, (37) create a one-pager/fact sheet/executive summary, (38) create a datasheet or product specification sheet, (39) extract pages from a PDF (page ranges, odd/even), (40) check LaTeX package availability before compiling, (41) analyze citations and cross-reference with .bib files, (42) debug LaTeX compilation errors, (43) make a document accessible (PDF/A, tagged PDF), (44) create lecture notes or course handouts, (45) fill an existing PDF form (fillable fields or non-fillable with annotations), (46) extract text or tables from a PDF (pdfplumber, pypdf), (47) OCR a scanned PDF to text (pytesseract), (48) create a PDF programmatically with reportlab (Canvas, Platypus), (49) rotate or crop PDF pages (pypdf), (50) add a watermark to an existing PDF, (51) extract metadata from a PDF (title, author, subject).
tools271
deploy
Render Quarto slides and sync to docs/ for GitHub Pages deployment. Use when deploying lecture slides after making changes.
devops271
revise
R&R cycle — classify referee comments and route to appropriate agents. Replaces /respond-to-referee.
documentation271
review-r
Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files.
development271
compiledeck
Create and compile beautiful Beamer presentations following the Rhetoric of Decks philosophy. Use when making slides, creating decks, or compiling .tex presentation files.
development271
commit
Stage, commit, create PR, and merge to main. Use for the standard commit-PR-merge cycle.
data-ai271
context-status
Show current context status and session health. Use to check how much context has been used, whether auto-compact is approaching, and what state will be preserved.
testing271
devils-advocate
Challenge slide design with 5-7 pedagogical questions. Checks ordering, prerequisites, and cognitive load.
development271
compile-latex
Compile a LaTeX manuscript with pdflatex (3 passes + bibtex). Use when compiling the research paper.
development271
commit
Stage, commit, create PR, and merge to main. Use for the standard commit-PR-merge cycle.
data-ai271
create-lecture
Create new Beamer lecture from papers and materials. Guided workflow with notation consistency.
documentation271
causal-inference-r
Run IV, DiD, and RDD analyses in R with proper diagnostics. Use when implementing causal inference methods, event studies, or treatment effect estimation.
tools271
analyze
End-to-end data analysis dispatching Coder and Data-engineer for implementation, coder-critic for review. Supports R, Stata, Python, Julia. Replaces /data-analysis.
development271
data-analysis
End-to-end R data analysis workflow from exploration through regression to publication-ready tables and figures.
data-ai271
data-analysis
End-to-end R data analysis workflow from exploration through regression to publication-ready tables and figures
data-ai271
daaf-orchestrator
Operational framework for the DAAF orchestrator. Defines engagement modes, confirmation protocol, subagent dispatch, context budget, and reference-loading. Loaded exclusively by the orchestrator — not for subagents or user questions.
development271
skills/03-K-Dense-AI-claude-scientific-skills/hypothesis-generation
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/K-Dense-AI/claude-scientific-skills 项目名称: claude-scientific-skills 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: hypothesis-generation descript
testing54
general-equilibrium-model-builder
Build and solve Walrasian general equilibrium models with theory derivations and Julia computation
development54
game-theory
This skill covers game-theoretic methods in structural econometrics and industrial organization. Use when the user is working with strategic interactions, equilibrium analysis, or game-theoretic structural models — including entry games, conduct testing, auction models with strategic bidding, bargaining, or matching markets. Triggers on "Nash equilibrium", "subgame perfect", "best response", "strategic interaction", "entry game", "conduct testing", "auction", "mechanism design", "matching market", "bargaining", "BNE", "Bayesian Nash", "static game", "dynamic game", "repeated game", "multiple equilibria", "equilibrium selection", "discrete game", "oligopoly", "game-theoretic", "player", "payoff", "strategy", "dominant strategy", "Bresnahan-Reiss", "Ciliberto-Tamer", "partial identification", "set identification", or markup test.
development54
skills/05-kthorn-research-superpower/research/finding-open-access-papers
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/kthorn/research-superpower 项目名称: research-superpower 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: Finding Open Access Papers description: Use
data-ai54
estimate
Run a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbook
devops54
econ-visualization
Create publication-quality charts and graphs for economics papers.
testing54
skills/05-kthorn-research-superpower/research/evaluating-paper-relevance
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/kthorn/research-superpower 项目名称: research-superpower 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: Evaluating Paper Relevance description: Two-
data-ai54
stata-regression
Run regression analyses in Stata with publication-ready output tables.
tools54
python-panel-data
Panel data analysis with Python using linearmodels and pandas.
development54
skills/05-kthorn-research-superpower/research/subagent-driven-review
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/kthorn/research-superpower 项目名称: research-superpower 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: Subagent-Driven Literature Review descriptio
data-ai54
skills/01-lishix520-academic-paper-skills/strategist
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/lishix520/academic-paper-skills 项目名称: academic-paper-skills 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: academic-paper-strategist description
data-ai54
statspai
Agent-native causal inference & econometrics toolkit for Python. 390+ functions, one import, unified API. Covers OLS, IV, DID, staggered DID, RDD, PSM, SCM, DML, Causal Forest, Meta-Learners, TMLE, neural causal models, and more. Every function returns structured result objects with self-describing schemas for LLM-driven workflows.
tools54
skills/02-luwill-research-skills/research-proposal
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/luwill/research-skills 项目名称: research-skills 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: research-proposal description: > Generate academic
data-ai54
skills/04-K-Dense-AI-claude-scientific-writer/scholar-evaluation
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/K-Dense-AI/claude-scientific-writer 项目名称: claude-scientific-writer 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> # Scholar Evaluation ## Overview Apply
testing54
skills/04-K-Dense-AI-claude-scientific-writer/scientific-writing
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/K-Dense-AI/claude-scientific-writer 项目名称: claude-scientific-writer 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: scientific-writing description
testing54
skills/05-kthorn-research-superpower/research/answering-research-questions
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/kthorn/research-superpower 项目名称: research-superpower 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: Answering Research Questions description: Ma
data-ai54
skills/04-K-Dense-AI-claude-scientific-writer/research-grants
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/K-Dense-AI/claude-scientific-writer 项目名称: claude-scientific-writer 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: research-grants description: "
testing54
r-econometrics
Run IV, DiD, and RDD analyses in R with proper diagnostics
tools54
beamer-presentation
Create academic presentations in Beamer with professional themes
content-media54
commit-push-pr
Commit changes, push to remote, and create a pull request. Use for completing features or fixes ready for review.
tools54
research-ideation
Generate research questions from economic phenomena
research54
latex-tables
Generate publication-ready regression tables in LaTeX.
tools54
empirical-playbook
This skill covers applied microeconomic empirical methods and research design. Use when the user is selecting an identification strategy, comparing estimators, running diagnostics, designing a research study, or evaluating an empirical strategy. Triggers on "which method", "what estimator", "how to choose", "method comparison", "empirical strategy", "research design", "applied micro", "identification strategy", "power analysis", "design-based", "model-based", "minimum detectable effect", "specification".
testing54
identification-proofs
This skill covers formal identification arguments and proofs in structural and reduced-form econometrics. Use when the user needs to prove or formalize that a parameter is identified — including writing identification propositions, stating regularity conditions, deriving rank conditions, or showing observational equivalence fails. Triggers on "identification proof", "identification argument", "identify the parameter", "show identification", "identification condition", "exclusion restriction proof", "rank condition", "order condition", "identification strategy formal", "nonparametric identification", "parametric identification", "local identification", "global identification", "observational equivalence", "identification at infinity", "completeness condition", "regularity conditions", "Rothenberg", "proof of identification", "identification result", "identified parameter", "point identified", "set identified", "partial identification".
data-ai54
skills/05-kthorn-research-superpower/getting-started
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/kthorn/research-superpower 项目名称: research-superpower 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: Getting Started with Research Superpowers de
data-ai54
api-data-fetcher
Fetch economic data from FRED, World Bank, and other APIs
development54
skills/05-kthorn-research-superpower/research/building-screening-rubrics
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/kthorn/research-superpower 项目名称: research-superpower 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: Building Paper Screening Rubrics description
development54
publication-output
This skill covers publication-quality tables and figures for academic research papers. Use when formatting regression results, summary statistics, Monte Carlo output, or research visualizations for LaTeX inclusion. Triggers on "table", "figure", "tabulate", "stargazer", "publication-ready", "LaTeX table", "event study plot", "coefficient plot", "RD plot", "power curve", "specification curve", "binscatter", "format results", "booktabs".
development54
skills/05-kthorn-research-superpower/research/traversing-citations
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/kthorn/research-superpower 项目名称: research-superpower 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: Traversing Citation Networks description: Sm
testing54
techdebt
Find and fix technical debt including duplicated code, dead code, outdated patterns, and code smells. Run at the end of sessions to clean up.
development54
academic-paper-writer
Draft economics papers with proper structure and academic style
documentation54
submission-guide
This skill covers academic journal submission, referee responses, and revision management. Use when the user is preparing a manuscript for submission, formatting for a specific journal, responding to referees, or managing revisions. Triggers on "submit", "referee", "revision", "R&R", "response letter", "journal", "formatting", "submission", "resubmit", "cover letter", "referee report", "revise and resubmit".
development54
skills/02-luwill-research-skills/paper-slide-deck
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/luwill/research-skills 项目名称: research-skills 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: paper-slide-deck description: Generate professional
data-ai54
skills/06-fuhaoda-stats-paper-writing/stat-writing
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/fuhaoda/stats-paper-writing-agent-skills 项目名称: stats-paper-writing-agent-skills 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: stat-writing desc
data-ai54
stata-data-cleaning
Clean and transform messy data in Stata with reproducible workflows
testing54
skills/05-kthorn-research-superpower/research/searching-literature
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/kthorn/research-superpower 项目名称: research-superpower 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: Searching Scientific Literature description:
testing54
sdd
Implements the Spec-Driven Development lifecycle (Intent, Requirements, Design, Tasks, Build) for structured feature development. Use when the user wants to scaffold a new feature spec, generate EARS requirements, create a technical design, break work into tasks, or check spec status. Trigger on keywords: sdd, spec-driven, ears requirements, feature spec.
development54
slfg
Full autonomous research workflow using swarm mode for parallel execution
research54
skills/04-K-Dense-AI-claude-scientific-writer/scientific-critical-thinking
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/K-Dense-AI/claude-scientific-writer 项目名称: claude-scientific-writer 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: scientific-critical-thinking d
testing54
structural-modeling
This skill covers structural econometric models. Use when the user is building, estimating, or debugging structural models — including BLP demand estimation, dynamic discrete choice, auction models, or any workflow involving moment conditions, nested fixed-point algorithms, or MPEC formulations. Triggers on "structural model", "moment conditions", "NFXP", "MPEC", "BLP", "random coefficients", "dynamic discrete choice", "CCP", "Rust model", "auction estimation", "GMM objective", "inner loop", "contraction mapping", or convergence/starting value problems in optimization-based estimation.
development54
skills/05-kthorn-research-superpower/research/checking-chembl
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/kthorn/research-superpower 项目名称: research-superpower 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: Checking ChEMBL for Structured SAR Data desc
testing54
code-simplifier
Simplify and clean up code after changes are complete. Reduces complexity, improves readability, and ensures consistency.
development54
skills/03-K-Dense-AI-claude-scientific-skills/research-grants
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/K-Dense-AI/claude-scientific-skills 项目名称: claude-scientific-skills 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: research-grants description: W
testing54
reproducible-pipelines
This skill covers reproducible research pipelines and replication packages. Use when the user is setting up a research project directory structure, configuring workflow managers (Make, Snakemake, DVC), managing computational environments, preparing replication packages for journal submission, or debugging reproducibility failures. Triggers on "reproducible", "replication package", "Makefile", "Snakemake", "DVC", "pipeline", "workflow manager", "data versioning", "conda environment", "Docker", "seed management", "AEA data editor", "replication", "project structure", or "submission checklist".
development54
replicate
Build and verify replication packages — routes to reproducibility-auditor agent
development54
lfg
Full autonomous research workflow — brainstorm, plan, implement, review, and document
documentation54
causal-inference
This skill covers causal inference methods in observational and quasi-experimental settings. Use when the user is implementing, choosing between, or debugging causal identification strategies — including instrumental variables, difference-in-differences, regression discontinuity, synthetic control, or matching estimators. Triggers on "causal effect", "identification strategy", "instrumental variable", "2SLS", "GMM", "difference-in-differences", "DiD", "staggered treatment", "regression discontinuity", "RDD", "synthetic control", "matching", "propensity score", "IPW", "AIPW", "doubly robust", "LATE", "ATT", "ATE", "parallel trends", "exclusion restriction", "first stage", "weak instruments", or "endogeneity".
development54
skills/04-K-Dense-AI-claude-scientific-writer/literature-review
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/K-Dense-AI/claude-scientific-writer 项目名称: claude-scientific-writer 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: literature-review description:
testing54
skills/04-K-Dense-AI-claude-scientific-writer/peer-review
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/K-Dense-AI/claude-scientific-writer 项目名称: claude-scientific-writer 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: peer-review description: "Syst
testing54
skills/05-kthorn-research-superpower/research/cleaning-up-research-sessions
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/kthorn/research-superpower 项目名称: research-superpower 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: Cleaning Up Research Sessions description: S
data-ai54
skills/04-K-Dense-AI-claude-scientific-writer/citation-management
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/K-Dense-AI/claude-scientific-writer 项目名称: claude-scientific-writer 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: citation-management descriptio
testing54
causal-ml
This skill covers causal machine learning methods in applied economics and quantitative social science. Use when implementing or choosing between modern ML-based causal estimators — including double machine learning, DML, partially linear models, interactive regression models, cross-fitting, Neyman orthogonality, debiased ML, causal forests, generalized random forest, GRF, honest causal trees, AIPW with machine learning, doubly robust with machine learning, DR-Learner, T-Learner, S-Learner, X-Learner, meta-learners, heterogeneous treatment effects, conditional average treatment effect, CATE, HTE, high-dimensional controls, LASSO controls, post-LASSO, post-double selection, Belloni-Chernozhukov-Hansen, Riesz representer, Chernozhukov, sample splitting, econml, DoubleML package, or any combination of machine learning and causal inference.
development54
skills/02-luwill-research-skills/medical-imaging-review
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/luwill/research-skills 项目名称: research-skills 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: medical-imaging-review description: > Write compre
documentation54
bayesian-estimation
This skill covers Bayesian estimation and inference in quantitative social science. Use when the user is specifying priors, running MCMC, diagnosing chain convergence, or reporting posterior summaries — including hierarchical models, Bayesian structural models, and small-sample settings where priors regularize. Triggers on "Bayesian estimation", "Bayesian inference", "MCMC", "Markov chain Monte Carlo", "Stan", "PyMC", "NumPyro", "prior", "posterior", "credible interval", "Bayesian structural", "Bayesian BLP", "Bayesian DSGE", "hierarchical model", "random effects Bayesian", "posterior predictive check", "Bayes factor", "prior predictive check", "NUTS", "HMC", "Hamiltonian Monte Carlo", "R-hat", "rhat", "effective sample size", "ESS", "Bayesian calibration", "posterior distribution", "prior elicitation", "weakly informative prior", "brms", "rstanarm", "cmdstanpy", "pymc", "arviz".
development54
lit-review-assistant
Search, summarize, and synthesize economics literature
tools54
skills/01-lishix520-academic-paper-skills/composer
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/lishix520/academic-paper-skills 项目名称: academic-paper-skills 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: academic-paper-composer description:
data-ai54
latex-econ-model
Write and typeset economic models in LaTeX with proper notation
documentation54
skills/07-Orchestra-Research-AI-Research-SKILLs/autoresearch-skill
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/Orchestra-Research/AI-Research-SKILLs 项目名称: AI-Research-SKILLs 开源协议: Apache License 2.0 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: autoresearch description: O
data-ai54
skills/04-K-Dense-AI-claude-scientific-writer/hypothesis-generation
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/K-Dense-AI/claude-scientific-writer 项目名称: claude-scientific-writer 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权，请联系删除。 --> --- name: hypothesis-generation descript
testing54