Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install brycewang-stanford-awesome-agent-skills-for-empirical-research-skills-29-quarcs-lab-project20xxy-dot-claude-skills-check-envgit clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research.gitcp Awesome-Agent-Skills-for-Empirical-Research/SKILL.MD ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-skills-29-quarcs-lab-project20xxy-dot-claude-skills-check-env/SKILL.md---
name: check-env
description: Verifies required tools (Quarto, uv, Python, R, Stata, TeX) and Jupyter kernels are installed. Use when setting up or troubleshooting.
allowed-tools: Bash, Read, Glob, Grep
---
# Check Environment
Verify that all required tools and dependencies are installed and correctly configured.
## Steps
1. 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 |
2. Check Jupyter kernels by running `uv run jupyter kernelspec list` and verify:
- `python3` — required
- `ir` — optional (needed for R notebooks)
- `nbstata` — optional (needed for Stata notebooks)
3. Check the Python virtual environment:
- Verify `.venv/` exists
- Run `uv run python -c "import numpy; import pandas; import matplotlib; import jupytext; print('Core packages OK')"` to confirm importability
4. Check nbstata configuration (if nbstata kernel is present):
- Verify `~/.config/nbstata/nbstata.conf` exists
- Read it and check that `stata_dir` points to an existing directory
5. Report 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).
6. If any required check fails, provide the installation command or link to fix it.