AI Agent Documentation (AGENTS.md)
Maintains minimalist, high-signal documentation to guide AI agents through project-specific workflows and conventions.
The agents-md skill automates the creation and maintenance of AGENTS.md and CLAUDE.md files, providing a canonical source of truth for AI models working within a repository. By enforcing research-backed best practices—such as keeping documents under 100 lines and prioritizing file-scoped commands over project-wide builds—it ensures that agents follow project conventions without the performance degradation typically caused by long, prose-heavy instructions. This skill helps developers set up standardized toolchains, commit attribution rules, and project-specific patterns that agents can instantly consume and act upon.
Key Features
01Automatically generates AGENTS.md with symlinked CLAUDE.md support for tool compatibility.
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03Implements standardized AI commit attribution to track agent-generated changes.
04Enforces a minimalist documentation style using tables and code blocks instead of prose.
05Analyzes project structure to identify package managers, linters, and test frameworks.
06Optimizes agent speed by promoting file-scoped commands for linting and typechecking.
Use Cases
01Standardizing developer workflows and commit identity across a team using AI coding agents.
02Initializing a new repository with AI-optimized instructions and environment context.
03Refactoring bloated or outdated CLAUDE.md files to improve agent instruction-following quality.