stata

Stata Skills for Claude Code

This project contains two Claude Code skills:

1. Stata — A comprehensive reference that tells Claude how to use Stata. Covers core syntax, data management, econometrics, causal inference, graphics, and 20+ community packages.

2. Stata C Plugins — A skill that tells Claude how to make Stata code that uses C plugins to do things. It includes information that Claude can use to translate existing packages into C plugins that can be called from Stata. This is very useful because it means you can do things in Stata that you wouldn't otherwise be able to do very easily.

As long as you can find an existing package somewhere, you can just let Claude go look at the existing Python package and this skill provides a workflow that Claude can use to develop a replication of whatever it is, implemented in Python or R or whatever, that runs in Stata and uses a C plugin. In many if not most cases, you should be able to get something that runs at least as fast in Stata as it did in the original language, if not faster.

Installation

Add this repo as a marketplace in Claude Code:

/plugin marketplace add dylantmoore/stata-skill

Then install whichever option fits your needs:

Plugin	Command
Stata reference only	/plugin install stata
C plugin development only	/plugin install stata-c-plugins
Both skills	/plugin install stata-bundle

You can also find this and other plugins via the claude-plugins collection.

What's Included

Skill 1: Stata

37 core reference files covering:

• Data import/export, management, and cleaning
• Linear regression, panel data, time series
• Limited dependent variables, survival analysis, SEM
• Causal inference: DiD, RD, matching, treatment effects
• Mata programming and matrix operations
• Graphics, tables, and reporting
• Workflow best practices

20 community package guides including:

• reghdfe — high-dimensional fixed effects
• estout / outreg2 — publication-quality tables
• csdid, did_multiplegt — modern DiD estimators
• rdrobust — regression discontinuity
• psmatch2 — propensity score matching
• synth — synthetic control
• ivreg2 / xtabond2 — IV and dynamic panel GMM
• And more (binsreg, coefplot, grstyle, winsor2, gtools, ...)

Skill 2: Stata C Plugins

Reference files covering:

• Stata plugin SDK (stplugin.h) setup and data flow
• Memory safety, debugging, and common failure modes
• .ado wrapper patterns (preserve/merge, plugin loading)
• Cross-platform compilation (macOS, Linux, Windows)
• Performance optimization (pthreads, pre-sorted indices, XorShift RNG)
• Packaging and distribution via net install
• Translation workflow for porting Python/R packages to Stata
• Testing strategy with correlation-based validation against reference implementations

How It Works

Both skills use progressive disclosure: a compact SKILL.md file loaded on activation directs Claude to read only the reference files relevant to the current task. This keeps context usage efficient while giving Claude access to detailed reference documents when needed.

Coverage

Category	Files	Topics
Data Operations	7	Import, management, strings, dates, math functions
Statistics	10	Regression, panel, time series, MLE, GMM, survey, MI
Causal Inference	5	DiD, RD, matching, treatment effects, selection
Advanced Methods	5	Survival, SEM, nonparametric, spatial, ML/lasso
Programming	6	Do-files, macros, loops, Mata
Output & Workflow	3	Tables, reporting, best practices, external tools
Packages	20	Community-contributed packages
C Plugins	4	SDK patterns, performance, packaging, translation

Contributing

This repo is also a good place to learn about building Claude Code skills. The ROADMAP.md lists open problems around testing, progressive disclosure, and dynamic documentation that apply to skill development in general — not just Stata.

See CONTRIBUTING.md for how to add documentation for new Stata packages. Pull requests welcome!

Disclaimer

This reference material is derived in part from Stata's official documentation and community package documentation. No copyright is claimed. Stata is a registered trademark of StataCorp LLC. This project is not affiliated with or endorsed by StataCorp.