Dylantmoore Stata Skill
- 272 repo stars
- Updated April 10, 2026
- dylantmoore/stata-skill
dylantmoore-stata-skill is a Claude Code plugin that teaches the agent to write correct, idiomatic Stata spanning econometrics, causal inference, Mata, and community packages.
About
dylantmoore-stata-skill is a Claude Code plugin bundle aimed at researchers, policy analysts, and developers 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. 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.
- 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
Dylantmoore Stata Skill by the numbers
- Data as of Jul 24, 2026 (Skillselion catalog sync)
/plugin install dylantmoore-stata-skill@dylantmoore/stata-skillAdd your badge
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| repo stars | ★ 272 |
|---|---|
| Last updated | April 10, 2026 |
| Repository | dylantmoore/stata-skill ↗ |
What it does
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.
Who is it for?
Best when you run Stata daily and want Claude Code to respect econometrics, causal inference, and community-package conventions.
Skip if: Skip if you have no Stata license or dataset workflow and only need Python/R data science skills.
What you get
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.
- Idiomatic Stata scripts for data management and analysis
- Econometrics and causal-inference patterns grounded in skill guidance
- References and usage patterns for supported community packages
By the numbers
- 3 plugins in the bundle (pluginCount: 3)
- Skill scope includes syntax, data management, econometrics, causal inference, graphics, Mata, and about 20 community pac
- Repository: dylantmoore/stata-skill
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Domain Stata econometrics skill bundle, not a general LSP plugin pack or MCP prompt server.
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.