This skill provides a bridge between your codebase and AI development tools like Factory AI and Claude Code by automating the maintenance of AGENTS.md files. It performs a deep scan of your project to detect languages, build scripts, test suites, and architectural patterns, then synthesizes this data into a standardized documentation format. By integrating the AIWG SDLC framework into your repository, it ensures that AI agents have the necessary context and technical constraints to operate safely and effectively within your specific development environment.
主な機能
01Multi-language codebase analysis for Node.js, Python, Go, and Rust
02Automated extraction of build, test, and lint commands from project manifests
03Detection of architectural patterns like Monorepos, Microservices, and Full-stack splits
04Intelligent merging that preserves existing user content while updating AIWG sections
05Project-specific environment and security constraint detection
06146 GitHub stars
ユースケース
01Standardizing AI documentation across multiple repositories in an organization
02Refreshing AI instructions after significant changes to build pipelines or folder structures
03Onboarding new AI agents to a complex codebase with project-specific requirements