skill-creator

To package reusable agent skills, you define the name and description in SKILL.md, scaffold optional scripts, references, and assets directories, and run packaging validation to ensure the skill is ready for distribution.

The best way to structure SKILL.md frontmatter is by enforcing frontmatter correctness and structured body content, applying progressive disclosure guidelines to align with the skill creation lifecycle from init to package.

You scaffold directories for modular agent skills by creating optional scripts, references, and assets folders to support resource bundling, ensuring the skill remains self-contained and organized for deployment.

You need to validate modular AI skills before distribution after editing the SKILL.md and bundling resources, running packaging validation to enforce frontmatter correctness and structured body content for successful deployment.

Yes, you can use the skill-creator to automate the planning and packaging of self-contained AI skills, applying structured approaches across the lifecycle from skeleton SKILL.md generation to resource bundling and validation.

The limitations of this structured approach include enforcing strict frontmatter correctness and structured body content, which may require manual refinement if your self-contained AI skill requires highly customized or non-standard formatting.