Create Claude Skill

Structure Claude skills with progressive disclosure: YAML frontmatter for startup metadata, a skill body that triggers on demand, and optional references, templates, and scripts organized in standard directories. This separation ensures clarity, composability, and scalability across tasks like onboarding, configuration, and testing.

Package procedural knowledge by defining clear skill anatomy with frontmatter, body content, and on-demand resources. Enforce standard directory structure and YAML conventions to create composable agent capabilities that extend Claude's domain expertise and solve unstructured, ad hoc capability problems.

Yes. Progressive disclosure loads metadata at startup, triggers skill body on user interaction, and provides references on demand. This design pattern reduces cognitive load, improves discoverability, and makes skills easier to test, evaluate, and maintain across multiple deployment contexts.

Register your skill in settings, then test via CLI commands or natural language interaction. The framework provides evaluation guidance to validate that your skill meets its design intent, functions correctly across expected use cases, and maintains compatibility during iteration and maintenance cycles.

Ad hoc capabilities lack structure and reusability. Well-designed Claude skills use enforced YAML frontmatter, standard directory structure, and progressive disclosure to create scalable, composable agent capabilities that solve specific problems consistently and remain maintainable across onboarding, configuration, testing, and deployment.