Check Environment

SkillDev tools

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

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Check Environment skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/29-quarcs-lab-project20XXy/dot-claude/skills/check-env/SKILL.md and read by ahel’s review.

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.

Signals

GitHub stars
4k
Forks
531
Last commit
Sep 2026
Advanced
Item type
skill
Key
check-env
Source
github.com/brycewang-stanford/auto-empirical-research-skills