Content
78%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-organized reference skill that stays lean, gives concrete commands and key patterns, and correctly offloads detail to two real one-level-deep reference files. The main gap is the absence of any inline executable example in the body itself.
Suggestions
Add one short inline code snippet (e.g., a Hash field update with redis.hset) in the body so the core pattern is copy-paste ready without opening a reference.
Trim the opening paragraph ('Foundational guidance for modeling data in Redis. Covers ...') since the section headers already convey the same information.
For the data-structure table, consider a one-line 'avoid when' note per row to make the decision guidance more bidirectional.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — a decision table, key patterns, and rules of thumb — and assumes Claude knows Redis basics, though the opening orientation paragraph is mild padding that could be trimmed. | 4 / 5 |
Actionability | Concrete command names (INCR/DECR, SADD/SISMEMBER, ZADD/ZRANGE) and explicit key patterns make the guidance executable; inline code is deferred to references, which is appropriate for this guidance skill but leaves minor gaps in the body itself. | 4 / 5 |
Workflow Clarity | Two clearly delineated decision areas (data structure by access pattern, key naming) with a 'When to apply' section; no destructive or batch operations requiring validation, and the decision process is unambiguous, though it is not a single crisp multi-step workflow. | 4 / 5 |
Progressive Disclosure | A concise overview body points via clearly signaled markdown links to two real, one-level-deep reference files (choose-data-structure.md, key-naming.md) plus an external links section, making navigation easy. | 5 / 5 |
Total | 17 / 20 Passed |