Provides a standardized structural framework for creating optimized, intelligence-first Claude Code Skills with clear triggering conditions and implementation patterns.
Acts as the foundational blueprint for developing specialized agent capabilities within the Claude Code ecosystem, ensuring every new skill is built for maximum reliability and search optimization. It guides developers in articulating concrete symptoms, defining discipline-enforcing rules, and documenting common pitfalls to prevent agent rationalization. By following this standardized format, teams can rapidly scale their AI agent workflows while maintaining high quality and consistent behavior across diverse technical domains.
Key Features
01Framework for defining concrete triggering symptoms and conditions
02Pre-structured sections for implementation patterns and code examples
03Rationalization tables to address and prevent agent deviations
040 GitHub stars
05Standardized Claude Search Optimization (CSO) formatting
06Templates for discipline-enforcing rules and 'Iron Laws'
Use Cases
01Bootstrapping new specialized capabilities for Claude Code agents
02Standardizing internal documentation for custom AI workflows
03Creating clear guardrails for complex or error-prone coding tasks