from awesome-agent-skills-for-empirical-research218
A pattern library of STATA code extracted from JAR replication files (2017–2025). Provides tested syntax for DiD, IV, RDD, event studies, survival analysis, reg
This skill supplies a curated library of STATA code patterns derived from 126 JAR replication .do files. It helps agents provide concrete, tested STATA syntax for common empirical tasks — e.g., difference-in-differences, instrumental variables, regression discontinuity, event studies (CAR/BHAR), survival/Cox models, Fama-MacBeth regressions, bootstrap, quantile regression, and table generation with esttab/outreg2. The skill emphasizes code patterns, not methodological advice.
Use when a user asks 'How do I implement [method] in STATA?' or requests ready-to-adapt syntax for a specific analysis (treatment, outcomes, controls). Avoid using this skill for research design decisions; it intentionally does not provide causal identification guidance.
references/REFERENCES.md) and 126 .do files are available in the repo for direct extraction.Agents that can read repository files and adapt code snippets (code-capable assistants, research automation agents).
This skill has not been reviewed by our automated audit pipeline yet.
Obsidian CLI
Control and automate Obsidian vaults from the command line: read, create, search, manage notes and tasks, and support plugin development with reload, eval, and
MarginalEffects (Model to Meaning)
Guidance and reference for the marginaleffects R/Python package: computing predictions, comparisons, slopes, and average treatment effects with practical exampl
