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check-env

Verifies required tools (Quarto, uv, Python, R, Stata, TeX) and Jupyter kernels are installed. Use when setting up or troubleshooting.

Published by brycewang-stanford ↗brycewang-stanford/Auto-Empirical-Research-Skills

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check-env

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Use check-env to check this project’s required research environment—tools, Jupyter kernels, virtual environment, core Python imports, and nbstata configuration when applicable—and provide a PASS/FAIL/SKIP results table with remediation for each required failure.

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SKILL.md

name: check-envdescription: 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

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 — required
- ir — optional (needed for R notebooks)
- nbstata — optional (needed for Stata notebooks)
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
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

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).

If any required check fails, provide the installation command or link to fix it.