Content
82%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 concrete JSON examples and a complete parameter reference. It is concise and assumes Claude's competence, with only minor over-explanation in the ranking-debug step and modest room to externalize the parameter reference.
Suggestions
Trim the explanatory tail in 'How It Works' step 5 (e.g., drop 'so you can audit disagreement between the three ranking sources') to reach full conciseness.
Consider moving the full Parameters table into a references/ file and keeping only the most-used parameters inline, improving progressive disclosure.
Add an explicit validation checkpoint in the cache-warming workflow (e.g., confirm embeddings exist before running find_similar) to strengthen workflow clarity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and assumes Claude knows embeddings/RRF, but 'How It Works' step 5 over-explains the ranking_debug fields ('so you can audit disagreement between the three ranking sources'), keeping it just below a 5. | 4 / 5 |
Actionability | Copy-paste-ready JSON examples in Quick Reference, a complete parameter table with types/defaults, concrete env var and field names (fts5_rank, embedding_rank, web_rank, rrf_score) cover the common cases fully. | 5 / 5 |
Workflow Clarity | Clear 5-step How It Works sequence plus a 2-step cache-warming workflow with the cold-start signal as a soft checkpoint; minor validation gaps but the operation is read-only so no destructive cap applies. | 4 / 5 |
Progressive Disclosure | No bundle files exist, but the body is well-organized into clearly signaled sections (Quick Reference, Parameters, Modes, Anti-Patterns, When NOT to use, See Also) with one-level-deep links to sibling skills; a few inline sections (the long parameter table) could arguably be split out. | 4 / 5 |
Total | 17 / 20 Passed |