skill-creator

To create a new AI workflow when no existing skill matches your modernization task, this Skill dynamically generates a new capability by cross-referencing documentation, use case galleries, and codebase context to produce a complete, functional skill definition.

Automated skill generation for legacy code migration dynamically creates a new skill, defining the specification, testing, build, review, and audit procedures needed to handle unique modernization tasks like migrating a legacy COBOL report generator to Python.

You generate a complete specification and test workflow by triggering this meta-skill, which automatically produces a SKILL.md file containing an SDD→TDD→Build→Review→Audit workflow tailored to your specific modernization request.

Yes, you can automatically push newly generated AI skills to your repository. This Skill pushes the new skill definition and updates documentation, ensuring the generated workflow is immediately available for team-wide adoption.

This meta-skill works with DevinClaw by automatically creating new OpenClaw skills when DevinClaw encounters a user request that no existing skill matches, ensuring the AI system adapts to handle any modernization challenge.

The limitation of dynamically generating new skills is that it relies on cross-referencing existing documentation, use case galleries, and codebase context, meaning the generated skill's quality depends entirely on the availability and accuracy of those reference materials.