skills/29-quarcs-lab-project20XXy/dot-claude/skills/init/SKILL.md
Fills all [FILL:] placeholders across the template to initialize a new research project. Use when setting up a freshly cloned project.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research initInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Fill in all [FILL:] placeholders across the template to set up a new research project.
Scan all tracked files for [FILL: patterns and group them by file:
grep -rn "\[FILL:" --include="*.md" --include="*.qmd" --include="*.toml" --include="*.tex" --include="*.yml" .
Report how many placeholders exist and in which files.
Ask the user for project information:
index.qmd, README.md, CLAUDE.md, pyproject.toml)index.qmd)index.qmd)index.qmd)CLAUDE.md: Idea / Data collection / Analysis / Writing / Revision)CLAUDE.md and README.md)README.md)pyproject.toml name field, e.g., regional-gdp-study)Apply the values to each file:
index.qmd — title, subtitle, authors (full YAML array with affiliations/ORCID/email), abstract, keywordsREADME.md — project title, description paragraph, data section, repository URL, Quick Start clone URLCLAUDE.md — Project Context table: title, authors, stage, data sourcepyproject.toml — name, description, authors_quarto.yml — no [FILL:] placeholders by default, but verifytemplates/chadManuscript/manuscript.tex — author names and keywordsAfter applying all values, re-scan for remaining [FILL:] placeholders:
grep -rn "\[FILL:" --include="*.md" --include="*.qmd" --include="*.toml" --include="*.tex" --include="*.yml" .
Report how many remain and where (some are expected in section bodies like "Describe the data...").
Run bash scripts/render.sh to regenerate latex/index.tex with the real content.
Report a summary: files updated, placeholders filled, placeholders remaining, render status.
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.