Agent skill · Data & Analytics

stata-toolkit

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.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-toolkit --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 1 KB
Bundled scripts: none
Path: skills/64-tmonk-mcp-stata/skills/stata-toolkit/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Stata Toolkit Dispatcher 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-diagno

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About this skill
What does the stata-toolkit skill do?

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.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-toolkit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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