stata-results

SkillDev tools

Fetch and display stored r(), e(), and s() results from the last Stata command.

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

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

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 stata-results skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/64-tmonk-mcp-stata/skills/stata-results/SKILL.md and read by ahel’s review.

Call stata_get_results(include_matrices=True, as_json=True).

Present the results in a structured format:

r() scalars: name → value pairs (e.g., r(N), r(mean), r(sd))
e() scalars: model-level results (e.g., e(N), e(r2), e(F))
e() matrices: if present, display b (coefficients) and V (variance-covariance) as formatted tables
s() macros: string results if any

If no results are stored (empty response), tell the user to run a Stata command first (e.g., regress, summarize, ttest).

If the user needs Mata state, note they can ask you to call stata_get_results(include_mata=True).

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