Use when finishing a piece of analysis and about to commit or push, when a project directory has accreted intermediate or diagnostic files and it's unclear what is a deliverable versus scratch, when setting up or reorganizing a research repository, or when asked to clean up the directory, organize the repo, standardize naming, make a project reproducible for collaborators, or decide what folder structure to use. Also fires throughout the work — when creating a new script, dataset, table, or figure, place and name it per the project's structure instead of dumping it in the root or a flat folder to sort out later, and at phase boundaries (plan agreed, a clean dataset built, a result validated) to commit a local checkpoint so the work is durable. For empirical and structural economics research projects across R, Julia, Python, and Stata, organized around the paper they produce. Triggers on "clean up the repo", "organize the project", "what should the folder structure be", "before I push this", "standardize the naming", "make this reproducible for a collaborator", "commit a checkpoint", or "I haven't committed in a while".
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryScience & researchStars0
About this skill
Use when finishing a piece of analysis and about to commit or push, when a project directory has accreted intermediate or diagnostic files and it's unclear what is a deliverable versus scratch, when setting up or reorganizing a research repository, or when asked to clean up the directory, organize the repo, standardize naming, make a project reproducible for collaborators, or decide what folder structure to use. Also fires throughout the work — when creating a new script, dataset, table, or figure, place and name it per the project's structure instead of dumping it in the root or a flat folder to sort out later, and at phase boundaries (plan agreed, a clean dataset built, a result validated) to commit a local checkpoint so the work is durable. For empirical and structural economics research projects across R, Julia, Python, and Stata, organized around the paper they produce. Triggers on "clean up the repo", "organize the project", "what should the folder structure be", "before I push this", "standardize the naming", "make this reproducible for a collaborator", "commit a checkpoint", or "I haven't committed in a while".
Quick start
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Use when finishing a piece of analysis and about to commit or push, when a project directory has accreted intermediate or diagnostic files and it's unclear what is a deliverable versus scratch, when setting up or reorganizing a research repository, or when asked to clean up the directory, organize the repo, standardize naming, make a project reproducible for collaborators, or decide what folder structure to use. Also fires throughout the work — when creating a new script, dataset, table, or figure, place and name it per the project's structure instead of dumping it in the root or a flat folder to sort out later, and at phase boundaries (plan agreed, a clean dataset built, a result validated) to commit a local checkpoint so the work is durable. For empirical and structural economics research projects across R, Julia, Python, and Stata, organized around the paper they produce. Triggers on "clean up the repo", "organize the project", "what should the folder structure be", "before I push this", "standardize the naming", "make this reproducible for a collaborator", "commit a checkpoint", or "I haven't committed in a while".
About this listing
Category
Science & research
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI