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, highly actionable, and well-organized, with copy-paste-ready commands and a clean two-phase workflow; its only gap is the absence of explicit post-generation validation checkpoints.
Suggestions
Add a brief validation/confirmation step after image generation (e.g., verify the selfie rendered correctly before offering the connecting-video option).
Make the Phase A to Phase B handoff explicit about how to pass the generated selfie images into the video step (which artifact/URL to reference).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and table-driven with concrete prompts and no explanation of concepts Claude already knows; every section earns its place, matching the 'lean and efficient' anchor. | 3 / 3 |
Actionability | Provides specific executable commands (muapi image edit, model IDs, curl fallback, predict wait polling) with full copy-paste-ready prompts, matching 'fully executable code/commands'. | 3 / 3 |
Workflow Clarity | Two phases are clearly sequenced with conditional gating, but there are no explicit validation checkpoints after generation (e.g., verifying the image produced before presenting), placing it at 'steps listed but validation gaps'. | 2 / 3 |
Progressive Disclosure | Single-file skill with well-organized sections (Inputs table, Phases, Trigger Keywords, Notes) and clear navigation, which the scoring note permits to score 3 for simple skills. | 3 / 3 |
Total | 11 / 12 Passed |