skill-creator-openai

To create an AI skill template, run the init_skill.py script to generate a SKILL.md file with valid frontmatter alongside optional folders for scripts, references, and assets. This provides a ready-to-edit Markdown body and structured resource layout.

A structured AI skill unit extends model capabilities using workflows, prompts, and bundled resources like scripts and references. You need this format when creating repeatable tasks that require deterministic execution or standardized documentation.

Yes, you need a Python environment to run the lifecycle tooling for AI workflow templates. The repository scripts quick_validate.py and package_skill.py handle validation and packaging directly within your Python setup.

The best way to standardize AI agent skills is using a template-driven approach that auto-generates consistent skeletons with predefined frontmatter and resource scaffolding. This ensures all team members follow the same structure for onboarding.

Yes, you can add example files when generating a skill skeleton by using the --examples flag with init_skill.py. You can also use the --resources flag to specify directories like scripts, references, and assets.

AI skill validation failures often stem from inconsistent frontmatter or missing required fields in the SKILL.md file. Run quick_validate.py to check your skill structure and ensure all bundled resources are correctly referenced.