skill-creator

To structure and validate executable skills, use a standard layout with SKILL.md frontmatter and resource folders like scripts, references, and assets. This ensures consistency, enforces required fields like name and description, and aligns with progressive disclosure patterns for lightweight context loading.

The best way to scaffold a new AI skill project folder is using an initialization script like init_skill.py. This script generates a standard skill folder structure containing SKILL.md and example resource files, reducing setup friction and accelerating skill creation.

Yes, SKILL.md frontmatter requires specific fields. Validation enforces required frontmatter fields including name and description, and mandates hyphen-case naming conventions to ensure your skill structure remains consistent and executable across projects.

When creating AI skills, you can choose from Workflow-Based, Task-Based, Reference/Guidelines, or Capabilities-Based structural patterns. These designs align with progressive disclosure, ensuring lightweight context loading and efficient execution for AI agents.

Yes, PyYAML is a required dependency to validate skill structure and frontmatter. The validation scripts parse YAML frontmatter fields like name and description, enforcing hyphen-case naming and ensuring your executable skill meets the required project structure standards.

Skill validation fails when frontmatter lacks required fields or uses incorrect naming. The validation process enforces required frontmatter fields such as name and description, and checks that hyphen-case naming conventions are strictly followed for skill creation.