How does this skill help prevent documentation staleness?

By documenting module purposes and key abstractions rather than specific function parameters or code snippets, the documentation remains valid even as the underlying code is updated.

What is an agent-optimized document?

It is a specialized file, such as AGENTS.md, designed to provide AI agents with high-level architectural context, business logic, and build commands without the clutter of specific implementation details.

Does this replace my existing README.md?

No, README.md remains human-focused for users and contributors. This skill manages supplemental, structured documentation intended specifically for AI comprehension and navigation.

Why use CLAUDE.md with a single line reference?

A single-line reference in CLAUDE.md creates a lightweight entry point that immediately directs Claude to your main agent documentation, ensuring it starts every session with the correct project context.

Can I use this for complex monorepos?

Yes, it supports a hierarchical structure where nested complex modules can have their own AGENTS.md and CLAUDE.md files to provide localized context for the agent.

Repository Documentation Manager

Name: Repository Documentation Manager
Author: dnlopes

bydnlopes

Content Management

Standardizes repository documentation with agent-optimized formats to ensure AI assistants understand codebase architecture and patterns without getting lost in implementation details.

About

This skill implements a sophisticated documentation framework designed specifically to bridge the gap between AI agents and human contributors. It moves beyond traditional READMEs by establishing a tiered structure including AGENTS.md for quick context and module-specific docs, while enforcing a philosophy of 'context over implementation' to prevent documentation rot. By centralizing build system commands and maintaining clear abstraction levels, it ensures that Claude and other agents can navigate complex repositories, understand architectural intent, and execute project-specific commands with high accuracy and minimal token waste.

Key Features

0 GitHub stars
Establishes a hierarchical documentation structure from root to complex sub-modules
Standardizes build system interfaces for consistent tool and command execution
Includes built-in staleness tracking and front-matter specifications for docs
Enforces context-first documentation to reduce staleness and maintenance overhead
Implements agent-optimized documentation standards using AGENTS.md and CLAUDE.md

Use Cases

Ensuring AI agents use the correct project interfaces like Makefiles or npm scripts instead of raw commands
Setting up a new repository with AI-friendly documentation structures to improve agent performance
Refactoring overly detailed documentation into high-level architectural patterns that stay relevant longer

About

Key Features

0 GitHub stars
Establishes a hierarchical documentation structure from root to complex sub-modules
Standardizes build system interfaces for consistent tool and command execution
Includes built-in staleness tracking and front-matter specifications for docs
Enforces context-first documentation to reduce staleness and maintenance overhead
Implements agent-optimized documentation standards using AGENTS.md and CLAUDE.md

Use Cases

Ensuring AI agents use the correct project interfaces like Makefiles or npm scripts instead of raw commands
Setting up a new repository with AI-friendly documentation structures to improve agent performance
Refactoring overly detailed documentation into high-level architectural patterns that stay relevant longer