skill-creator

Standardize skill creation by using structured design patterns—Workflow-Based, Task-Based, Reference/Guidelines, or Capabilities-Based—with consistent frontmatter naming and properties. This Skill generates and validates metadata and SKILL.md structure to enforce naming conventions, description length constraints, and resource organization, reducing repetitive setup and ensuring reliable packaging.

Bundle resources by organizing scripts, references, and assets within your skill folder, then run the packaging script to validate structure and constraints. This Skill provides guidance on resource organization, progressive disclosure in SKILL.md, and packaging validation workflows to enable consistent, deployable skill packages.

Yes. Run scripts/init_skill.py to scaffold a new skill with proper structure, edit SKILL.md with your content, then run scripts/package_skill.py to validate frontmatter fields, metadata compliance, and resource bundling. Automation eliminates manual setup errors and ensures every skill meets packaging requirements.

Required frontmatter fields are standardized by this Skill's validation workflow, covering metadata naming, allowed properties, and description length constraints. The initializer and packaging scripts enforce these rules to guarantee consistent, valid skill metadata across your organization.

Use progressive disclosure guidance to surface only essential information in SKILL.md while bundling detailed scripts and references separately. This Skill provides structural patterns that balance completeness with readability, enabling documentation that scales with skill complexity without overwhelming users.

Yes. This Skill applies across domains with four structured design patterns—Workflow-Based, Task-Based, Reference/Guidelines, and Capabilities-Based—each suited to different problem types. The validation and packaging framework ensures domain-specific skills maintain consistency and meet deployment requirements.