Content
81%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 highly actionable, well-sequenced instruction skill with a complete copy-paste prompt skeleton and explicit decision branches. Its main weakness is token efficiency: the delivery philosophy is stated twice (Workflow steps 12–13 and the Delivery behavior section), and several constraints repeat across sections.
Suggestions
Merge Workflow steps 12–13 into the 'Delivery behavior' section (or vice versa) to remove the near-verbatim duplication of the no-inspection/no-retry/no-post-processing rules, and consolidate the repeated three-color and centering rules into their single canonical sections.
Either reference 'assets/ip-as-logo-wall.webp' from the body (e.g., as a style example near the Shape language section) or remove it from the bundle, so every bundled file is discoverable from SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | There is no filler or explanation of concepts Claude already knows, but redundancy is systematic: Workflow step 12 ('Do not inspect outputs to block delivery, classify them as recommended or non-recommended, retry them automatically, or repair them with post-processing') restates the Delivery behavior section nearly verbatim ('Do not block delivery, rank candidates as compliant or non-compliant, mark them as recommended or non-recommended, or automatically retry any result... Do not post-process a result'), and the three-color rule and centering prohibitions each appear in multiple sections. Mostly efficient, but it could be meaningfully tightened — anchor 3, not 4, because whole sections are duplicated rather than trimmed. | 3 / 5 |
Actionability | Fully executable guidance: a complete copy-paste prompt skeleton with explicit placeholders ('Background: fill the entire square with solid <background>...'), an exact labeling scheme ('A1, A2, B1, B2, C1, C2' with per-corner assignments), concrete model names (GPT Image 2, Seedance 5.0 Pro, Nano Banana Pro), numeric specs ('4–7 large basic shapes', '1536 × 1536', '85–95% of the canvas'), and a ready negative-prompt payload. Instruction-only skill with copy-paste-ready guidance covering the common cases. | 5 / 5 |
Workflow Clarity | Thirteen explicitly sequenced steps with strong checkpoints: an approval gate ('Do not generate until the user agrees'), a model-availability gate ('If none is available, ask the user to enable a suitable tool or provide its API key'), explicit response-interpretation branches for each user reaction, error-recovery loops (insufficient context → 'one consolidated round of background questions'; weak background separation → 'adjust the subject colors first'), and a post-batch accounting step ('Report every label, IP direction and rationale, assigned corner, saved path, prompt/color mapping, and dimensions'). Post-generation output inspection is deliberately designed out ('Treat generation as a stochastic draw, not a conformance test') — but validation is not missing: pre-flight gates and complete delivery verification are present, so the batch-operation cap does not bind. | 5 / 5 |
Progressive Disclosure | Well-organized section structure (Workflow, Complexity budget, Shape language, Simplicity, Color and canvas, Prompt skeleton, Delivery behavior) with all content used at generation time appropriately inline for a single-purpose skill. Minor gap: the bundle contains 'assets/ip-as-logo-wall.webp' but the body never references it, so navigation to the example asset is missing — anchor 4 ('good structure; most content appropriately placed; minor organization gaps') rather than 5. | 4 / 5 |
Total | 17 / 20 Passed |