Content
86%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A lean, highly actionable skill body with executable commands, real validation checkpoints, and a well-structured one-level reference split; only minor conciseness and workflow-sequencing refinements remain.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes Claude's competence (no preamble on what Three.js or Web Audio is), with only minor prose in 'When to use' and 'Recovery and Coordination' that could be trimmed, fitting the 'efficient with minor over-explanation' anchor. | 4 / 5 |
Actionability | Provides copy-paste-ready, fully-argued commands across sfx, ambience, tts, isolate, voice-change, and probe with realistic example prompts, durations, and output paths covering the common cases. | 5 / 5 |
Workflow Clarity | Validation checkpoints are present (probe --validate, 'listen before generating a batch', test through the real game event, consolidated QA pass) and recovery distinguishes failure modes, but there is no explicit numbered sequence with feedback loops, so it sits below a 5. | 4 / 5 |
Progressive Disclosure | SKILL.md is a clean overview with a single clearly-signaled one-level-deep reference (references/audio-workflows.md, which exists) and one script (scripts/threejs_audio_asset.py, which exists), with bulk detail appropriately split out and easy navigation. | 5 / 5 |
Total | 18 / 20 Passed |