_skills-evaluation-architecture

Evaluating skill architecture involves assessing hierarchy, abstraction, coupling, and extension paths to verify structural soundness. You load a candidate SKILL.md and report on its structure and extensibility to identify potential decomposition or over-splitting issues.

Structural soundness in skill definitions means clean composition where a skill can be loaded selectively and extended. It is verified by checking clear frontmatter with name, description, and allowed-tools, and ensuring SKILL.md documents navigation and provides a navigate table.

To check SKILL.md navigability and extensibility, verify it documents navigation, provides a navigate table, and defines an extensible structure. This confirms the skill can be properly loaded selectively and extended across the repository.

Assess hierarchy and coupling across skills when you need to identify potential decomposition or over-splitting issues. This architecture evaluation ensures clean composition and verifies how well each skill can be loaded selectively and extended.

Evaluating skill definitions requires clear frontmatter with name, description, and allowed-tools. This prerequisite metadata allows the architecture evaluation to properly assess structural soundness, hierarchy, abstraction, and coupling across the skills.

Architecture evaluation can identify potential decomposition or over-splitting issues in skills. By assessing hierarchy, abstraction, and coupling, it verifies structural soundness and determines how well a skill can be loaded selectively and extended.