This skill empowers Claude to create, refactor, and maintain minimal, high-performance AGENTS.md files and symlinked CLAUDE.md files following industry best practices. By prioritizing progressive disclosure over exhaustive documentation, it prevents context poisoning from stale data and keeps agent instructions within an efficient token budget. It proactively identifies missing configurations and helps migrate bloated documentation into a structured, multi-file hierarchy that scales with complex projects and monorepos, ensuring your AI tools always have the most relevant information without the noise.
主要功能
0141 GitHub stars
02Anti-pattern detection for stale file trees and redundant rules
03Automated AGENTS.md creation and CLAUDE.md symlinking
04Monorepo-aware configuration nesting for scaled projects
05Bloat reduction via progressive disclosure principles
06Token-efficient project summaries and command tracking
使用场景
01Refactoring a bloated CLAUDE.md into a lean AGENTS.md hierarchy
02Initializing a new project with standardized, cross-tool agent configurations
03Optimizing LLM instruction following by reducing instruction noise