Can I use custom coding principles with this skill?

Yes. The skill provides industry-standard defaults for clean code and testing but allows you to append your own project-specific rules to maintain your unique development standards.

What is the difference between CLAUDE.md and AGENTS.md?

CLAUDE.md is optimized specifically for Claude Code features like hierarchical memory and @ imports, while AGENTS.md follows a cross-tool specification compatible with Cursor, Copilot, and Codex.

How does this skill improve AI agent performance?

By providing a structured, concise map of your project architecture, coding standards, and testing policies, it reduces hallucinations and ensures the agent follows your specific project conventions.

Should I replace my README with these files?

No, README files are for human onboarding. CLAUDE.md and AGENTS.md are specialized 'agent-first' documents that focus on technical constraints and execution details that AI needs to work effectively.

Agent Documentation Architect

Name: Agent Documentation Architect
Author: yaakaito

byyaakaito

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Learning & Documentation

Generates and maintains structured CLAUDE.md and AGENTS.md files to provide optimal context for AI coding assistants.

The Agent Documentation Architect skill simplifies the creation of high-quality instruction documents that guide AI agents through your codebase. By providing a standardized 8-section structure, it ensures that Claude, Cursor, and other tools understand your project's architecture, core principles, and testing requirements without manual overhead. It supports both Claude-specific formatting and cross-tool compatible specifications, helping developers maintain lean, efficient documentation through progressive disclosure patterns.

Key Features

01Pre-configured core principles and testing policy templates

02Choice between CLAUDE.md and cross-compatible AGENTS.md formats

033 GitHub stars

04Progressive disclosure support for linking detailed resources

05Standardized 8-section documentation framework

06Automated directory structure and command mapping

Use Cases

01Initializing AI-friendly instructions for a new repository

02Standardizing coding rules and CLI commands across a development team

03Refining existing documentation to improve AI agent performance

Key Features

01Pre-configured core principles and testing policy templates

02Choice between CLAUDE.md and cross-compatible AGENTS.md formats

033 GitHub stars

04Progressive disclosure support for linking detailed resources

05Standardized 8-section documentation framework

06Automated directory structure and command mapping

Use Cases

01Initializing AI-friendly instructions for a new repository

02Standardizing coding rules and CLI commands across a development team

03Refining existing documentation to improve AI agent performance