Create Stata do-files with project templates and naming conventions.
npx skills add https://github.com/naj2r/claude-econ-paper-template --skill stata-code
Please help me install this Agent Skill. Skill: stata-code Source: https://github.com/naj2r/claude-econ-paper-template/tree/main/.claude/skills/stata-code Command: npx skills add https://github.com/naj2r/claude-econ-paper-template --skill stata-code
Write production-ready Stata do-files following this project's established conventions and templates, ensuring consistency and reproducibility across analyses.
Create a new Stata do-file following the template and conventions, then run it to reproduce a clean, well-documented analysis.
High-intent search queries and answers about installing and using this skill.
To create reproducible Stata do-files for econometric pipelines, use a standardized template that enforces naming conventions, path variables, and a quality checklist to ensure consistent, well-documented analyses.
The best way to standardize Stata do-file headers and path globals is to apply a project template that integrates with code/master/paths.do and code/master/globals.do, enforcing consistent structure across replication studies.
Yes, this Stata do-file template works for data cleaning and replication studies by providing a standard skeleton for filenames, bootstrap blocks, and logging, alongside a built-in checklist to validate outputs before execution.
To validate Stata do-file structure and outputs before execution, follow a built-in quality checklist that checks documentation, file structure, and analysis outputs, ensuring your reproducible analyses meet project conventions.
You need a standardized template for Stata do-files when production-ready, reproducible analyses are required, particularly in econometric pipelines and data cleaning tasks where consistency across multiple analyses is critical.
Yes, you can automate Stata do-file creation to follow established project naming conventions and path variables, automatically generating a skeleton with headers, logging, and bootstrap blocks for immediate use.
AndreaMentastiReview Stata .do files for reproducibility and coding conventions.
rukikotooExecute Stata do-files via Bash and retrieve output logs.
schuettcCheck project backlog items for status, priority, and next steps.
zhouziyue233Generate ready-to-run .do files for data cleaning and regression models.
