Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, highly actionable skill that provides Claude with a clear 7-phase workflow for finding optimization targets. Its strengths are the precise file paths, concrete commands, exhaustive pattern table, and explicit filtering/ranking criteria. The main weakness is that the content is somewhat long and could benefit from splitting the pattern reference table into a separate asset file for better progressive disclosure.
Suggestions
Consider extracting the Known Patterns table into a separate asset file (e.g., `assets/patterns.yaml`) and referencing it from the SKILL.md to reduce body length and improve progressive disclosure.
Tighten Phase 3 prose — the explanation of what to extract from db.yaml entries could be condensed into a bullet list without the explanatory sentences about 'This history teaches you what to look for.'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient and avoids explaining basic concepts, but the Known Patterns table and the detailed multi-phase structure are somewhat verbose. The pattern table earns its place as a reference, but some prose could be tightened (e.g., Phase 3's explanation of what to extract from history entries). | 2 / 3 |
Actionability | Highly actionable throughout: concrete glob paths, specific script commands, exact file locations, a complete pattern-matching table with before/after techniques, explicit procedures for each phase, and a precise YAML output template. Claude can follow this without ambiguity. | 3 / 3 |
Workflow Clarity | Seven clearly sequenced phases with explicit validation/filtering steps (Phase 5 filters already-done work and missing benchmarks), a mandatory cross-product check in Phase 4 with 'must follow exactly' instructions, ranking criteria with tiebreakers, and a clear stop condition ('If zero survive, STOP'). The workflow is thorough with appropriate checkpoints. | 3 / 3 |
Progressive Disclosure | The skill references external files (db.yaml, profile-modules script, fingerprint configs) appropriately, but the body itself is quite long and monolithic. The Known Patterns table and detailed procedures could potentially be split into a referenced asset file. However, no bundle files were provided to confirm whether supporting files exist, and keeping everything inline is defensible for a single-purpose skill. | 2 / 3 |
Total | 10 / 12 Passed |