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Folder Organization

This is comprehensive guidance for setting up and maintaining clean project structures, covering everything from initial directory layouts to the token-efficient MANIFEST system that can reduce session startup overhead by 85-90%. It shines when you're either starting fresh or inheriting a messy project that needs reorganization. The deprecation strategy is smart: instead of deleting old files, you move them to descriptive deprecated directories with documentation explaining what happened. The strongest part is the integration of practical concerns like making sure your structure plays nice with version control and how to systematically update all file paths when reorganizing. It includes ready-to-use templates for research, development, bioinformatics, and notebook-based workflows.

skills.sh installs
149
GitHub stars
23
last updated
Aug 21, 2026

Install

$ npx -y skills add delphine-l/claude_global --skill folder-organization --agent claude-code

Installs into .claude/skills of the current project.

Files

Folder Organization Best Practices

Expert guidance for organizing project directories, establishing file naming conventions, and maintaining clean, navigable project structures for research and development work.

When to Use This Skill

  • Setting up new projects
  • Reorganizing existing projects
  • Establishing team conventions
  • Creating reproducible research structures
  • Managing data-intensive projects

Core Principles

  1. Predictability - Standard locations for common file types
  2. Scalability - Structure grows gracefully with project
  3. Separation of Concerns - Code, data, documentation, outputs separated
  4. Discoverability - Easy for others (and future you) to navigate
  5. Version Control Friendly - Large/generated files excluded appropriately

Quick Reference: Standard Project Structure

Use the structure matching your project type. Full templates in project-structures.md.

Research/Analysis: data/{raw,processed,external}, notebooks/, src/, scripts/, tests/, docs/, results/, config/

Development: src/package_name/, tests/, docs/, examples/, .github/workflows/

Sponsors

Details

Repository
github.com/delphine-l/claude_global
Categories
Code Review & Quality, Data Science & ML
First seen
Jun 3, 2026

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