Plugin · Claude Code · Development Tools

Dylantmoore Stata Skill

dylantmoore-stata-skill is a Claude Code plugin for the Idea phase that teaches the agent to write correct, idiomatic Stata spanning econometrics, causal inference, Mata, and community packages.

by dylantmoore · github.com/dylantmoore/stata-skill

Add this skill when you need Claude Code to write correct, idiomatic Stata for data management, econometrics, causal inference, graphics, and Mata with community packages.

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Install

Add it to Claude Code

Install the plugin in Claude Code. One command, paste-ready.

Install the plugin
/plugin install dylantmoore-stata-skill@dylantmoore/stata-skill
Add to ClaudeUse the Agent APISkillselion is itself an MCP server - your agent can fetch this config directly.
Agent API

Built to be called by your agent

Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.

Retrieve this entry with skillselion.get_details("plugin:dylantmoore/stata-skill") and the paste-ready config with skillselion.get_install_config("plugin:dylantmoore/stata-skill").

About

What it does

dylantmoore-stata-skill is a Claude Code plugin bundle aimed at researchers, policy analysts, and indie builders who still ship serious quantitative work in Stata rather than only in Python. The skill steers the agent toward correct syntax, disciplined data management, and established econometric and causal-inference patterns so generated code matches how experienced Stata users structure projects. Coverage extends to graphics, Mata, and community packages—about twenty are in scope—so suggestions lean on real tooling instead of hand-wavy pseudo-code. The three-plugin bundle also touches compilation, debugging, optimization, and safety themes useful when do-files grow into production research pipelines. Solo operators wear every hat: designing a study, scoping identification, then implementing tables and figures; this plugin keeps Claude aligned with Stata idioms across those phases. Intermediate familiarity with Stata itself is assumed; the value is agent assistance that respects discipline-specific conventions.

Highlights

  • Covers Stata syntax, data management, graphics, and Mata for agent-generated do-files
  • Econometrics and causal inference guidance for defensible empirical workflows
  • References roughly 20 community packages for idiomatic—not invented—Stata usage
  • Plugin bundle (3 plugins) with development, debugging, and performance-oriented Stata helpers
  • Cross-platform and packaging notes for installing skills alongside Stata/Stplugin workflows

Why builders use it

Generic coding agents hallucinate Stata syntax, misuse packages, and break reproducible empirical workflows.

After you install the skill bundle, Claude produces Stata code and do-file structure that align with data management, inference, and graphics practices you can actually run.

At a glance

  • Type - Plugin in Development Tools.
  • Adoption - 0 installs, 143 stars, 0 votes.

FAQ

Who is dylantmoore-stata-skill for?

It is for Claude Code users doing empirical work in Stata who need idiomatic code across data prep, econometrics, causal inference, graphics, and Mata.

When should I use dylantmoore-stata-skill?

Use it whenever you ask the agent to write, debug, or extend Stata do-files, especially when community packages or causal designs are involved.

How do I add dylantmoore-stata-skill to my agent?

Install the plugins from dylantmoore/stata-skill per the repo setup guide, enable the skill bundle in Claude Code, and ensure Stata is available where you execute generated scripts.

Discussion

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