skill-creator

To create modular AI skills, run init_skill.py to generate structured templates and example resources like scripts, references, and assets folders. This enforces reusable structures and frontmatter standards to keep SKILL.md lean.

The best way to package AI skills is to follow the provided packaging workflow guidance, which helps organize modular components and produce distributable .skill packages for efficient production deployment.

You can standardize skill anatomy and frontmatter across projects by using the provided guidelines on frontmatter standards and progressive disclosure, ensuring a consistent, scalable approach to skill design for domain-specific capabilities.

Yes, you can use these templates for domain-agnostic use cases. The skill provides structured scaffolding to bootstrap new skills for data processing, automation, and workflow orchestration across various projects.

No external dependencies are required to scaffold and package modular skills. The skill provides built-in scripts, references, and assets to bootstrap templates and generate distributable .skill packages independently.

You should use progressive disclosure when building modular AI skills to keep SKILL.md lean and effective, exposing complex details only when needed while maintaining a scalable, reusable structure for team collaboration.