Standardizes and optimizes repository-specific AI agent instructions using the AGENTS.md framework and progressive disclosure.
The AI Instruction Architect skill helps developers create and maintain high-signal AGENTS.md files and linked instruction documents to guide AI behavior within a repository. It employs a progressive disclosure model to keep root instructions minimal while routing complex guidance to specific sub-documents, ensuring AI agents operate within project-specific constraints. By verifying commands and paths against repo evidence, it eliminates hallucinations and ensures that AI tools like Claude and Gemini follow consistent, valid operating procedures without exceeding context window limits.
주요 기능
01Automated creation and refactoring of AGENTS.md and linked docs
02Detection of contradictory or redundant repository instructions
03Progressive disclosure routing to minimize context window bloat
04Evidence-based command mapping from package manifests and scripts
052 GitHub stars
06Cross-tool harmonization for AGENTS.md, CLAUDE.md, and GEMINI.md
사용 사례
01Consolidating conflicting guidance across multiple AI instruction files
02Organizing fragmented or bloated repository instructions into a clean hierarchy
03Implementing repo-specific safety checks and stack-detection rules for AI agents
