Standardizes the creation and validation of evolutionarily robust agent skills across multiple AI platforms.
The Skill Specification provides a formal framework for building AI agent capabilities that remain compatible across diverse environments like Claude Code, Cursor, and Codex. It defines a standardized schema for SKILL.md files, ensuring that skills are evolutionarily robust through progressive disclosure and semantic versioning. By following this specification, developers can build portable, self-validating tools that work seamlessly across current and future agent ecosystems without breaking silently, while also supporting advanced triadic classification for complex AI ecosystems.
Key Features
01Built-in validation hooks and CLI commands for CI/CD integration
02Advanced metadata support for triadic classification and versioning
032 GitHub stars
04Cross-platform compatibility for Claude, Cursor, Codex, and Letta
05Evolutionary robustness through progressive disclosure patterns
06Standardized SKILL.md schema with YAML frontmatter validation
Use Cases
01Creating portable skills that work across different AI coding environments
02Validating existing skill directories for schema compliance
03Scaling complex agent capabilities using a modular directory structure
