Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with executable code and excellent workflow sequencing with verification checkpoints, but it is a long monolithic file with some redundant strategy guidance that hurts conciseness and progressive disclosure.
Suggestions
Move the large alignment routine and/or strategy-selection detail into a reference file (e.g. ALIGNMENT.md) and link to it, leaving the core workflow inline.
Remove the duplicate strategy-selection guide in Troubleshooting since the same table already appears in Step 5.
Tighten or factor out the long `align_stem_duration` crossfade branch to reduce token weight.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~700-line body is mostly lean executable code rather than concept explanation, but the duration-mismatch strategy table in Step 5 is duplicated by the "Strategy Selection Guide" in Troubleshooting, and the full alignment routine is long enough that it could be tightened or factored out. | 2 / 3 |
Actionability | Every step ships complete, executable Python with concrete functions, real library calls (soundfile, numpy, scipy), and copy-paste-ready driver loops rather than pseudocode. | 3 / 3 |
Workflow Clarity | Eight steps are given in strict order, each with immediate verification and fail-fast `raise RuntimeError` feedback loops, plus a final verification checklist — matching the explicit-validation anchor. | 3 / 3 |
Progressive Disclosure | The skill is a single monolithic ~700-line SKILL.md with no bundle files or external references; it is well-sectioned but content that could be split (strategy guide, full alignment code) is all inline. | 2 / 3 |
Total | 10 / 12 Passed |