Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a tight, fully actionable, well-sequenced recipe with explicit validation checkpoints and error-recovery loops, and it is appropriately self-contained given there are no bundle files to reference.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and purposeful: it conveys only non-obvious domain knowledge (the cut-density insight, why Nano-Banana-2's spatial reasoning, why a storyboard image beats text) and avoids filler about concepts Claude already knows, matching the 'every token earns its place' anchor. | 3 / 3 |
Actionability | Each phase gives concrete executable commands (muapi image generate / image edit / video from-image) with model IDs, full copy-paste prompts with {{placeholders}}, aspect ratios, multi-reference wiring, and a curl fallback — fully executable, not pseudocode. | 3 / 3 |
Workflow Clarity | A clear Phase A→B→C→D sequence with explicit validation checkpoints ('Present... and confirm identity details', 'Present for approval', 'Confirm: 16 shots read clearly') and feedback loops ('If a panel reads poorly, regenerate...', 'If cut density feels too low, regenerate Phase D first'), matching the anchor-3 example. | 3 / 3 |
Progressive Disclosure | No bundle files exist, so the skill is a single self-contained file organized into clean sections (Inputs, phased Steps, Notes, Trigger Keywords, Pipeline diagram, Notes for the Executing Agent) with no nested references — well-organized structure as the guideline allows for self-contained skills. | 3 / 3 |
Total | 12 / 12 Passed |