skill-creator

Creating an AI skill involves running the init_skill.py script with your skill name and output path, then structuring YAML frontmatter, SKILL.md content, and optional resources like scripts and assets. The skill-creator guides you through each step to produce a validated, ready-to-deploy package.

YAML frontmatter defines metadata like skill name, dependencies, and components. SKILL.md contains the main content organized into sections for workflows or references. The skill-creator provides templates and validation to ensure all required sections are properly formatted and discoverable.

Yes, skills support optional components including scripts, references, and assets for specialized tasks. The skill-creator manages resource organization and progressive disclosure, ensuring dependencies like pyyaml are included and all components are correctly packaged together.

The skill-creator automates validation checks to verify metadata, structure, and resource integrity, then prepares your skill for distribution. This eliminates common errors and ensures your skill meets packaging requirements before deployment.

Both workflows follow the same structured process, but updating an existing skill leverages its current YAML frontmatter and SKILL.md as a starting point. The skill-creator handles both cases, guiding you through modifications while preserving validated components.

The skill-creator provides scaffolding and templates that guide non-experts through skill structure without requiring deep coding knowledge. It handles resource organization and progressive loading, reducing the learning curve for skill development across domains.