skill-name

Use YAML frontmatter with required fields like name and description to document AI capabilities as structured Skill units. This enables auto-discovery and precise retrieval in tool-augmented workflows, making capabilities machine-readable and embeddable.

Include forced sections: What This Skill Does, When to Use This Skill, Instructions, Examples, Best Practices, Troubleshooting, Integration Points, Key Terminology, and Additional Resources. These standardized sections ensure consistent discovery and activation across the Claude ecosystem.

Yes. The structured frontmatter schema generates machine-readable metadata suitable for RAG embedding and retrieval. Output conforms to formats designed for precise activation in tool-augmented workflows with trigger phrases and activation conditions.

Create a Skill directory with SKILL.md containing frontmatter and required sections. Optional directories—scripts/, references/, assets/—can augment capabilities. This modular structure ensures portability and extensibility across the Claude ecosystem.

YAML frontmatter with standardized fields enables automated discovery by indexing name, description, allowed-tools, and trigger phrases. This structured approach allows systems to locate and activate Skills based on user intent without manual configuration.