Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable skill body: lean directive rules, a clear sequenced workflow with a debugging feedback loop, and properly signaled references to real bundle files at one level of depth.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and directive — it lists exact geometry types, import patterns, and renderer settings without explaining what three.js or primitives are, so every line assumes Claude's competence and earns its place. | 3 / 3 |
Actionability | Guidance is highly concrete and executable: named geometries, exact import statements, precise renderer flags ('renderer.outputColorSpace = THREE.SRGBColorSpace', 'THREE.PCFSoftShadowMap'), and a specific debug command ('python3 -m http.server 8000'), deferring full code to the template asset as appropriate for an instruction skill. | 3 / 3 |
Workflow Clarity | The Core workflow is an explicit 8-step sequence and the Debugging section provides a 6-step error-recovery feedback loop ('Simplify animation until a static render works'), with the analysis inventory acting as a pre-code checklist. | 3 / 3 |
Progressive Disclosure | The body is a concise overview that clearly signals one-level-deep references to real bundle files — assets/threejs-scene-template.html, references/reconstruction-prompt.md, and scripts/write_scene_from_template.py — each with a stated purpose, and content is appropriately split across them. | 3 / 3 |
Total | 12 / 12 Passed |