Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is concise and highly actionable, with real commands and complete prompt templates plus a pragmatic curl fallback. Its main gap is the absence of explicit validation/verification checkpoints between the two generation steps.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — an inputs table, two concrete steps with exact model IDs and prompt templates, and terse notes — with no over-explanation of concepts Claude already knows. | 3 / 3 |
Actionability | Provides fully executable guidance: exact 'muapi image edit' commands with model IDs, complete prompt templates with {{input}} substitution, per-platform aspect ratios, and a copy-paste curl fallback. | 3 / 3 |
Workflow Clarity | Two steps are clearly sequenced with a branching decision and per-platform mapping, but there are no explicit validation checkpoints or feedback loops between steps (e.g. verify Step 1 output before proceeding). | 2 / 3 |
Progressive Disclosure | A short single-purpose skill organized into clearly signaled sections (Inputs / Steps / Notes / Trigger Keywords) with no monolithic wall of text and no nested references; per scoring_notes this earns a 3. | 3 / 3 |
Total | 11 / 12 Passed |