Content
82%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 well-structured, highly actionable skill body with executable commands, a clear sequenced workflow, and appropriate offloading of the voice catalog to a reference file. Minor gaps are a slightly long model-selection list and no explicit output-verification checkpoint.
Suggestions
Add a brief post-generation verification step (e.g. confirm the MP3 file exists and report duration) to close the workflow validation gap.
Trim the model-selection list to the recommended default plus one fallback, moving legacy aliases into a deprecated note.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean operational guidance with no padding about concepts Claude already knows, but the four-variant model list (including "legacy-flash25: retained only for older compatibility") and the Quick Reference table duplicating later detail could be trimmed slightly. | 4 / 5 |
Actionability | Provides copy-paste-ready commands throughout — the run.py wrapper invocations, API-key gate check, dry-run verification, and full generate_audio.py calls with all flags (--text-file, --voice, --voice2, --model, --output, --json) — covering summary, full, and dialogue cases. | 5 / 5 |
Workflow Clarity | The six-step Generation Workflow is clearly sequenced with validation checkpoints (API-key gate, dry-run verify) and an error-handling table for recovery, but it lacks an explicit post-generation verification that the output file exists or is playable. | 4 / 5 |
Progressive Disclosure | Structure is good: the bulky 30-voice catalog is correctly split into references/voices.md (verified present) and clearly signaled with on-demand loading instructions, while the SKILL.md itself stays a reasonably-scoped overview. | 4 / 5 |
Total | 17 / 20 Passed |