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 well-structured, actionable skill body with a clear workflow, concrete defaults, and clean progressive disclosure to real reference files. The main weaknesses are minor: duplicated reference listings and conditional rather than enforced validation for batch outputs.
Suggestions
Consolidate the "CLI + environment notes" and "Reference map" sections into a single reference list to remove the duplicated file listing and save tokens.
Make validation an explicit checkpoint for batch runs (e.g., spot-check a sample of outputs for intelligibility/pacing/adherence) rather than gating it only on "important clips", so the workflow's feedback loop applies to every batch.
Tighten the OPENAI_API_KEY setup steps or move the detailed OS/shell guidance into a reference file, keeping the body to the essential requirement and the "never paste the key in chat" rule.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean and assumes Claude's competence (no concept explanations of TTS or APIs), but the "CLI + environment notes" and "Reference map" sections list the same reference files twice, and the API-key setup steps are somewhat padded. Not a 5 due to this redundancy; not a 3 because the bulk is efficient and task-specific. | 4 / 5 |
Actionability | Provides copy-paste-ready install commands ("uv pip install openai"), concrete defaults (model gpt-4o-mini-tts-2025-12-15, voices cedar/marin), hard limits (4096 chars, 50 rpm), a reusable augmentation template, and concrete single + batch JSONL examples covering the common cases. | 5 / 5 |
Workflow Clarity | The 8-step workflow has an explicit validate step (intelligibility, pacing, pronunciation, constraints) and an iterate/re-check feedback loop, but validation is framed conditionally ("For important clips") rather than as a hard gate, which is a minor checkpoint gap. Not a 5 because validation is not enforced for every output (notably batch); not a 3 because checkpoints and the feedback loop are clearly present. | 4 / 5 |
Progressive Disclosure | Clear overview body with well-signaled, one-level-deep references (references/*.md) and a final "Reference map" summarizing each file; all referenced paths (cli.md, prompting.md, narration.md, etc., and scripts/text_to_speech.py) resolve to real bundle files, and content is appropriately split between the body and references. | 5 / 5 |
Total | 18 / 20 Passed |