skill-creator

Create a normalized skill directory by running init scripts that generate YAML frontmatter and modular resources, then use validation scripts to verify naming rules, schema checks, and frontmatter presence before deployment.

Scaffold reusable AI skills by generating a normalized folder structure with required SKILL.md frontmatter, keeping capabilities concise and discoverable through modular scripts, references, and assets.

Yes, PyYAML is required to parse and verify YAML frontmatter presence and schema checks during the skill validation process using standard library tools.

Yes, skill scaffolding generates a normalized folder with recommended structure for scripts, references, and assets, allowing developers to initialize a skill and add modular resources before validating.

Templates provide a repeatable process for building modular skill units but are limited to verifying minimal conventions, frontmatter presence, and naming rules rather than full semantic validation of skill logic.

Skill validation fails because frontmatter presence is a required schema check; the validation scripts parse YAML in SKILL.md to ensure naming rules and minimal conventions are satisfied.