Content
88%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-built skill body: highly actionable instructions, a clear sequenced workflow, and appropriate use of a single reference file. The main improvement opportunity is tightening or externalizing the lengthy worked example to improve token efficiency and file structure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient with no tutorial filler or explanations of concepts Claude already knows, but the ~55-line inline worked example (full source, Mermaid sequence diagram, six-bullet walkthrough) is a notable chunk that could be trimmed or moved to a reference — fitting "efficient; minor instances of over-explanation that could be trimmed" rather than the lean score-5 anchor. | 4 / 5 |
Actionability | Fully executable guidance: the four required elements, concrete per-target section templates, exact tool names for verification (mcp__claude_ai_Context7__resolve-library-id/query-docs, a gh api command), and a complete worked example demonstrating the expected output end-to-end; nothing is pseudocode or vague. | 5 / 5 |
Workflow Clarity | The explanation process is clearly sequenced (analogy → diagram → walkthrough → gotcha) and the library-verification workflow is a numbered list with explicit decision conditions for when to look things up; this is a read-only explanation task so no destructive/batch validation cap applies. | 5 / 5 |
Progressive Disclosure | Good structure with one clearly signaled, one-level-deep reference (references/spring-boot-mapping.md, which exists) that correctly defers the mapping detail; however, the long inline worked example keeps it at "good structure; minor organization gaps" rather than the cleanly split score-5 anchor. | 4 / 5 |
Total | 18 / 20 Passed |