Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with concrete commands, model IDs, and ready prompts, plus a clearly sequenced two-phase workflow with an approval checkpoint. The main weakness is minor redundancy from restating the description and slightly verbose fallback notes.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete prompts and commands, but the opening bold line restates the description verbatim and the Notes section's curl/polling instructions are somewhat verbose; could be tightened without losing clarity. | 2 / 3 |
Actionability | Provides fully executable guidance: specific CLI commands ("muapi image generate", "muapi image edit"), named models (nano-banana-2, nano-banana-2-edit), copy-ready prompts, and a concrete curl fallback — copy-paste ready. | 3 / 3 |
Workflow Clarity | Clear two-phase sequence (Phase A then Phase B) with an explicit approval checkpoint ("Present the 2D plan to the user for approval") before proceeding to rendering; the single-track flow is unambiguous. | 3 / 3 |
Progressive Disclosure | No bundle files exist and the skill is a compact single file with well-organized sections (Inputs, Steps, Trigger Keywords, Notes); per guidelines, under-50-line skills with no external references score 3 on organization alone. | 3 / 3 |
Total | 11 / 12 Passed |