Agent Instruction Manager (AGENTS.md)

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40k
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Standardizes and optimizes agent-facing documentation to ensure AI models follow project-specific conventions with minimal context window bloat.

The agents-md skill provides a research-backed framework for creating and maintaining AGENTS.md and CLAUDE.md files, ensuring that AI coding assistants receive high-signal, concise instructions. By enforcing a minimalist approach—targeting under 60 lines and never exceeding 100—it improves instruction-following quality and reduces token consumption. The skill analyzes your project's toolchain, package manager, and linter configurations to generate lean documentation that prioritizes file-scoped commands and mandatory commit attribution while avoiding redundant prose.

Key Features

01Automated project analysis for package managers and linter discovery
02Minimalist AGENTS.md template generation with symlink to CLAUDE.md
03Optimization of file-scoped commands for faster, localized task execution
04Standardized AI commit attribution formatting for team transparency
05Anti-pattern detection to remove documentation bloat and filler text
0640,350 GitHub stars

Use Cases

01Initializing a new repository with optimized instructions for AI coding assistants
02Refactoring bloated CLAUDE.md files that are causing model performance degradation
03Standardizing developer workflows and commit identity across a team of AI agents