Stata Toolkit Dispatcher

SkillDatabases & data

Activate when users mention Stata commands, .do files, regressions, econometrics, stored results, graphs, dataset inspection, replication, or Stata errors. Route the task through mcp-stata tools and the specialized research skills instead of treating it as plain text coding.

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 Stata Toolkit Dispatcher 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-toolkit/SKILL.md and read by ahel’s review.

Use this skill as the default router for Stata work.

  1. Confirm the mcp-stata MCP server is available.
  2. Route quick tasks to the direct slash-style skills:
    • stata-run
    • stata-inspect
    • stata-results
    • stata-graph
    • stata-help
    • stata-log
    • stata-lint
  3. Route research workflows to the specialized skills:
    • stata-data-audit
    • stata-environment-diagnose
    • stata-modernize
    • stata-publication-qa
    • stata-replication
    • stata-causal-inference
    • stata-table-builder
    • stata-power-analysis
    • stata-data-provenance
    • stata-referee-response
  4. Use the MCP tools directly when the user needs ad hoc Stata execution or a mixed workflow.

Read these references when needed:

  • references/tool-reference.md for the tool map and identity response.
  • references/research-workflows.md for end-to-end economics workflows.
  • references/error-handling.md for log, rc, and background-task handling.

Signals

GitHub stars
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Forks
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Last commit
Sep 2026
Advanced
Item type
skill
Key
stata-toolkit
Source
github.com/brycewang-stanford/auto-empirical-research-skills