skill-creator

Modular agent skills are created by defining self-contained capabilities with clear frontmatter and reusable components. This skill provides a guided workflow to plan, implement, and validate skills, enforcing progressive disclosure to separate core metadata from detailed instructions.

Progressive disclosure in AI workflow documentation is the practice of separating core metadata from detailed instructions and bundled references. It ensures agent skills remain modular and self-contained while preventing overwhelming users with unnecessary implementation details upfront.

Document reusable agent capabilities by writing a SKILL.md file that includes frontmatter, a concise overview, and quick-start instructions. This structured approach ensures consistency and allows teams to rapidly prototype new capabilities using standardized templates.

Enforce consistency by applying a structured process that validates frontmatter, modular design, and bundled resources. This approach ensures repeatable skill creation by requiring self-contained components and progressive disclosure for every new agent capability.

No specific dependencies are required to build self-contained agent skills. The creation process relies on defining clear frontmatter and structured workflows within a SKILL.md file, allowing developers to prototype capabilities without external module constraints.