skills/29-quarcs-lab-project20XXy/dot-claude/skills/check-env/SKILL.md
Verifies required tools (Quarto, uv, Python, R, Stata, TeX) and Jupyter kernels are installed. Use when setting up or troubleshooting.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research check-envInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Verify that all required tools and dependencies are installed and correctly configured.
Check each required tool and report its version (or "not found"):
| Tool | Command | Minimum |
| ---- | ------- | ------- |
| Quarto | quarto --version | >= 1.4 |
| uv | uv --version | any |
| Python | python3 --version | >= 3.12 |
| R | R --version | optional |
| Stata | which stata | optional |
| TeX Live | pdflatex --version | optional (for PDF) |
| GitHub CLI | gh --version | optional |
Check Jupyter kernels by running uv run jupyter kernelspec list and verify:
python3 — requiredir — optional (needed for R notebooks)nbstata — optional (needed for Stata notebooks)Check the Python virtual environment:
.venv/ existsuv run python -c "import numpy; import pandas; import matplotlib; import jupytext; print('Core packages OK')" to confirm importabilityCheck nbstata configuration (if nbstata kernel is present):
~/.config/nbstata/nbstata.conf existsstata_dir points to an existing directoryReport a structured results table:
Tool/Check Status Version/Details
─────────────────────────────────────────────────
Quarto PASS 1.6.x
uv PASS 0.x.x
Python PASS 3.12.x
R PASS 4.x.x
Stata SKIP not found (optional)
TeX Live PASS 2024
GitHub CLI PASS 2.x.x
Kernel: python3 PASS installed
Kernel: ir PASS installed
Kernel: nbstata SKIP not installed
.venv/ PASS exists
Core Python packages PASS importable
nbstata.conf SKIP kernel not installed
Use PASS / FAIL / SKIP (SKIP for optional tools that are absent).
If any required check fails, provide the installation command or link to fix 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.