Content
85%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is actionable, well-sequenced with validation feedback loops, and cleanly split across real reference files. Its main weakness is conciseness: a duplicative reference map and dated version strings add tokens that could be trimmed.
Suggestions
Remove or consolidate the 'Reference map' section, which repeats links already listed under 'Guidance by use case' and 'CLI + environment notes', to cut redundancy.
Move the pinned model version 'gpt-4o-mini-tts-2025-12-15' (and any other dated strings) into a dedicated versions/deprecation note so the main flow stays evergreen and lean.
Tighten the 'Environment' section by combining the API-key setup bullets into a more compact checklist.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely lean and assumes Claude's competence, but the 'Reference map' section duplicates links already given under 'Guidance by use case' and 'CLI + environment notes', and dated version strings add maintainable noise. Mostly efficient but could be tightened, matching the score-2 anchor. | 2 / 3 |
Actionability | Provides concrete executable guidance — CLI path, install commands, a JSONL batch example, a labeled instruction template, and specific defaults/limits — copy-paste ready and complete. | 3 / 3 |
Workflow Clarity | A numbered 8-step workflow with an upfront decision tree, an explicit validation step ('For important clips, validate: intelligibility, pacing, pronunciation...'), and a single-change iterate/re-check feedback loop, matching the clear-sequence-with-validation anchor. | 3 / 3 |
Progressive Disclosure | SKILL.md is a concise overview pointing to one-level-deep references (all verified to exist) via a clear reference map and per-use-case modules; content is appropriately split with easy navigation. | 3 / 3 |
Total | 11 / 12 Passed |