skill-forge

You create and evaluate Claude Code skills by using a structured SKILL.md template with YAML frontmatter validation, then running an end-to-end evaluation loop to draft eval prompts, test triggers, and iteratively refine the skill definitions.

The best way to optimize skill descriptions for triggering accuracy is to use a dedicated description optimization workflow, which systematically tests and refines trigger conditions to improve user outcomes and reduce guesswork.

The evaluation loop works by letting you draft eval prompts, run trigger tests, gather results, and progressively refine the skill, providing a repeatable framework to iteratively improve prompt engineering workflows.

Yes, you can validate YAML frontmatter and package skills for production use through built-in validation tooling and a quick_validate command, ensuring skills are portable, consistent, and production-ready.

No external dependencies are required to start building skills; the framework operates independently with structured templates and progressive-disclosure workflows to speed up the skill-creation process.

You should use a framework for iterative skill refinement when you need repeatable test harnesses and structured validation to reduce guesswork, especially if your manual prompt engineering workflows are slow or inconsistent.