Track dataset lineage, transformation steps, merge logic, and reproducibility risks in Stata workflows. Use when the user needs to explain where data came from, how it changed, or why a pipeline can be trusted.
Scanned 9/3/2026
Install to Claude Code
Skills Directorynpx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-data-provenance --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: stata-data-provenance
description: Track dataset lineage, transformation steps, merge logic, and reproducibility risks in Stata workflows. Use when the user needs to explain where data came from, how it changed, or why a pipeline can be trusted.
---
# Data Provenance
Use this skill when lineage and reproducibility matter.
1. Map the sequence of source files and transformations.
2. Flag untracked merges, overwrites, and silent sample restrictions.
3. Produce a concise provenance narrative a coauthor can audit.
Read `references/lineage.md` for the provenance checklist.
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