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 lean, highly actionable with concrete CLI commands and templates, and well-organized for a simple single-purpose skill; its main gap is the absence of explicit verification or error-recovery steps around the generation calls.
Suggestions
Add an explicit validation step after each generation call (e.g. check the returned request_id/status and retry or report failure before proceeding).
Include a brief feedback loop for video generation: if the result is rejected at the approval checkpoint, re-run with adjusted prompt rather than leaving recovery implicit.
Note expected failure modes of the image/video endpoints and how to handle them, so error recovery is not left to inference.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — a compact inputs table, terse numbered phase steps, and inline prompts — with no padding or explanation of concepts Claude already knows, matching the score-3 anchor of assuming competence and earning every token. | 3 / 3 |
Actionability | Provides concrete executable guidance: 'muapi image edit' (model='gpt-image-2-text-to-image'), specific aspect ratios, a full timestamped script template, and a curl fallback with a real endpoint — matching the score-3 anchor for copy-paste-ready commands. | 3 / 3 |
Workflow Clarity | The two-phase sequence and a user-approval checkpoint are present ('Present the combined image to the user for approval'), but there are no validation or error-recovery feedback loops for the generation steps, so it sits at anchor 2 rather than the explicit-feedback-loop anchor 3. | 2 / 3 |
Progressive Disclosure | No bundle files exist; the single under-50-line SKILL.md is well-organized into clearly labeled sections (Inputs, Steps, Trigger Keywords, Notes), which the simple-skill scoring note says can score 3 when content is clear and well-organized. | 3 / 3 |
Total | 11 / 12 Passed |