Agent skill · writing content · ailabs-393
codebase-documenter
This skill should be used when writing documentation for codebases, including README files, architecture documentation, code comments, and API documentation. Use this skill when users request help documenting their code, creating getting-started guides, explaining project structure, or making codebases more accessible to new developers. The skill provides templates, best practices, and structured approaches for creating clear, beginner-friendly documentation.
Why this skill is useful
Codifies best practices and templates for documentation that the AI could infer but doesn't have specific guidance for.
What it needs
About 7k tokens when loaded. Last updated 2025-11-11. 438 stars on the source repository.
What this skill does
Codebase Documenter Overview This skill enables creating comprehensive, beginner-friendly documentation for codebases. It provides structured templates and best practices for writing READMEs, architecture guides, code comments, and API documentation that help new users quickly understand and contribute to projects. Core Principles for Beginner-Friendly Documentation When documenting code for new users, follow these fundamental principles: 1. Start with the "Why" - Explain the purpose before diving into implementation details 2. Use Progressive Disclosure - Present information in layers from simple to complex 3. Provide Context - Explain not just what the code does, but why it exists 4. Include Examples - Show concrete usage examples for every concept 5. Assume No Prior Knowledge - Define terms and avoid jargon when possible 6. Visual Aids - Use diagrams, flowcharts, and file tree structures 7. Quick Wins - Help users get something running within 5 minutes Documentation Types and When to Use Them 1. README Documentation When to create: For project root directories, major feature modules, or standalone components. Structure to follow: Best practices: Lead with the project's value proposition Include setup instructions that actually work (test them!) Provide a visual overview of the project structure Link to deeper documentation for advanced topics Keep the root README focused on getting started 2. Architecture Documentation When to create: For projects with multiple modules, complex data flows, or non-obvious design decisions. Structure to follow: Best practices: Use diagrams to show system components and relationships Explain the "why" behind architectural decisions Document both the happy path and error handling Identify boundaries between modules Include visual file tree structures with annotations 3. Code Comments When to create: For complex logic, non-obvious algorithms, or code that requires context. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills ailabs-393/codebase-documenter--7ebda4