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Check env

Skill brycewang-stanford/Auto-Empirical-Research-Skills/skills/29-quarcs-lab-project20XXy/dot-claude/skills/check-env

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Install
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill check-env

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One thing to look at

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What its author says it does

Copied from the file, not written here

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

SKILL.md

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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"):

    ToolCommandMinimum
    Quartoquarto --version>= 1.4
    uvuv --versionany
    Pythonpython3 --version>= 3.12
    RR --versionoptional
    Statawhich stataoptional
    TeX Livepdflatex --versionoptional (for PDF)
    GitHub CLIgh --versionoptional

  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.

Keep looking

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