skill-creator

To create an AI skill, structure your directories to include separate folders for scripts, references, and assets, alongside a central SKILL.md file. This organization enforces naming conventions and ensures operational efficiency.

To write effective SKILL.md content for prompt engineering, include specific frontmatter requirements, operational instructions, examples, and troubleshooting sections. This structure enforces adherence to body content structure for discoverability and operational efficiency.

Use the scripts directory for executable code like Python scripts for image manipulation, and use the references directory for static resource materials. Proper resource management ensures your AI skills are maintainable and correctly structured.

Test AI skill triggering and functionality by evaluating how well the skill responds to expected prompts, then iterate based on performance signals. This testing process is supported throughout the development lifecycle.

Naming conventions and frontmatter requirements for new AI skills mandate specific metadata fields at the top of the SKILL.md file. Enforcing these standards ensures proper skill discoverability and operational efficiency.

Yes, you can use this guide to improve an existing AI skill by refining its SKILL.md content, optimizing resource management, and iterating on its structure. It supports the development lifecycle for both new and existing skills.