skills/16-hsantanna88-clo-author/dot-claude/skills/write/SKILL.md
Draft academic paper sections with notation protocol, anti-hedging, and humanizer pass. Replaces /draft-paper and /humanizer.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research writeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Draft paper sections or apply humanizer pass by dispatching the Writer agent.
Input: $ARGUMENTS — section name or mode, optionally followed by file path.
/write [section] — Draft Paper SectionDraft a specific section: intro, strategy, results, conclusion, abstract, or full.
Agent: Writer Output: LaTeX section file in paper/sections/
Workflow:
Before drafting, read all available context:
paper/ (if it exists)master_supporting_docs/ for notes, outlines, research specsquality_reports/research_spec_*.md or quality_reports/lit_review_*.md.claude/references/domain-profile.md for field conventionsBibliography_base.bib for available citationspaper/tables/ and paper/figures/ for generated outputquality_reports/results_summary.md if it exists (from Coder)Based on $ARGUMENTS:
full: Draft all sections in sequence, pausing between major sections for user feedbackintro: Draft introduction (most common request)strategy: Draft identification and estimation sectionresults: Draft results from available outputconclusion: Draft conclusionabstract: Draft abstract (must have other sections first)Dispatch Writer with section standards, notation protocol, and anti-hedging rules. Humanizer pass runs automatically before finalizing. Save to paper/sections/[section].tex.
Before presenting the draft:
\label{eq:...})\cite{} keys exist in Bibliography_base.bibpaper/tables/ or paper/figures/Present each section for feedback. Flag items that need attention:
/write humanize [file] — Humanizer Pass OnlyStrip AI writing patterns from existing text without rewriting content.
Agent: Writer (humanizer mode) Output: Edited file with AI patterns removed
Strips 24 patterns across 4 categories:
| Section | Length | Key Requirements | |---------|--------|-----------------| | Introduction | 1000-1500 words | Hook → question → method → finding → contribution → roadmap | | Strategy | 800-1200 words | Formal assumption, numbered equation, threats addressed | | Results | 800-1500 words | Main spec, effect sizes in economic terms, heterogeneity | | Conclusion | 500-700 words | Restate with effect size, policy, limitations, future | | Abstract | 100-150 words | Question, method, finding with magnitude, implication |
\citet{} for textual citations ("Smith (2024) shows...")\citep{} for parenthetical citations ("...is well documented (Smith, 2024)")booktabs rules (\toprule, \midrule, \bottomrule) — never \hlineY_{it}, D_{it}, \gamma_i, \delta_t, \varepsilon_{it}tools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.