skills/29-quarcs-lab-project20XXy/dot-claude/skills/env-snapshot/SKILL.md
Captures tool versions, packages, and kernel info as a reproducibility record in notes/. Use when documenting the environment.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research env-snapshotInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Capture the full environment state and save it as a reproducibility record.
Gather system and tool versions:
uname -a # OS info
quarto --version # Quarto
uv --version # uv
python3 --version # Python
Capture Python package versions:
uv pip list # all installed packages with versions
Capture Jupyter kernel list:
uv run jupyter kernelspec list
If R is available, capture R session info:
R -e "sessionInfo()"
If Stata is available, note the version:
which stata # or check nbstata.conf for edition info
Read ~/.config/nbstata/nbstata.conf for stata_dir and edition.
If TeX Live is available:
pdflatex --version | head -1
Generate a timestamped Markdown file with all collected information:
# Environment Snapshot — YYYY-MM-DD
## System
- OS: ...
- Platform: ...
## Tools
| Tool | Version |
| ---- | ------- |
| Quarto | x.x.x |
| uv | x.x.x |
| Python | 3.12.x |
| R | x.x.x (or N/A) |
| Stata | SE x.x (or N/A) |
| TeX Live | xxxx (or N/A) |
## Jupyter Kernels
- python3: /path/to/kernel
- ir: /path/to/kernel (or N/A)
- nbstata: /path/to/kernel (or N/A)
## Python Packages
| Package | Version |
| ------- | ------- |
| numpy | x.x.x |
| pandas | x.x.x |
| ... | ... |
## R Session Info
(full sessionInfo() output, or "R not available")
## Stata Packages
(ado dir output, or "Stata not available")
Save to notes/environment-YYYYMMDD.md (using today's date).
Report the file path.
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.