Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable, token-efficient body with executable code and a clear sequenced workflow plus an error-recovery table. The main weakness is monolithic structure — all detail lives inline with no progressive disclosure into reference files.
Suggestions
Move the longer code patterns (e.g. two-phase search, caching setup) into a reference file and summarize each in SKILL.md with a one-level-deep link, improving progressive disclosure.
Add a short "Quick start" section at the top that picks the single highest-impact lever (search type selection) before the detailed step-by-step, so the overview points to the detail rather than embedding all of it.
Consider extracting the latency-by-search-type and performance-comparison tables into a reference file if the skill grows further, keeping SKILL.md as a navigable overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and dense with executable code and compact comparison tables; no padding or explanation of concepts Claude already knows, and inline comments earn their place (e.g. "Cache hit: 0ms vs 500-2000ms"). | 3 / 3 |
Actionability | Every step provides fully executable, copy-paste-ready TypeScript (selectSearchType, cachedSearch, parallelSearch, twoPhaseSearch, normalizeQuery) with concrete parameter values, not pseudocode. | 3 / 3 |
Workflow Clarity | Six steps are clearly sequenced and the Error Handling table gives an issue→cause→solution feedback loop; these are non-destructive optimizations so the destructive-operation validation cap does not apply. | 3 / 3 |
Progressive Disclosure | Well-sectioned, but the ~165-line body is monolithic with all guidance inline and no bundle/reference files to offload detail into; at this length some patterns could be split out rather than kept inline. | 2 / 3 |
Total | 11 / 12 Passed |