Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a tight, highly actionable reference: executable CLI and schema, an explicit verify-and-re-render feedback loop, and a well-structured overview with clearly signaled bundle assets. It assumes Claude's competence and adds only skill-specific fidelity knowledge.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and assumes Claude's competence — no basic-concept padding; every block (schema, flags, quality checks, failure modes) contributes specific, non-obvious fidelity detail (cursor #FFCC00, smart-punctuation map, scroll-mask verification) that Claude could not infer. | 3 / 3 |
Actionability | Fully executable guidance: copy-paste CLI invocations, a complete flag table, a full Note JSON example with per-field semantics, and a Failure Modes table mapping symptom→cause→fix. Nothing is pseudocode or abstract. | 3 / 3 |
Workflow Clarity | The Workflow section gives a clear 4-step sequence with an explicit verification feedback loop ('Open the resulting PNG to verify... If something looks wrong... edit the JSON and re-render'), reinforced by a Quality Checks checklist. | 3 / 3 |
Progressive Disclosure | Well-organized into clearly labeled sections (Purpose, Inputs, CLI, Output, Workflow, Files, Quality Checks, Failure Modes) with a Files table mapping each file to its purpose; bundle assets (references/reference-frames, assets/samples) are appropriately separated and inline overview content is correctly kept in SKILL.md. | 3 / 3 |
Total | 12 / 12 Passed |