Content
86%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 compact, well-structured read-only workflow with executable filter examples and good edge-case handling (pagination, empty state, dedup). Adding an explicit API-error recovery step would lift workflow clarity.
Suggestions
Add a brief validate/retry step for API failures (e.g., what to do if get_memories errors or returns partial data) to strengthen the workflow's feedback loop.
Clarify how <active_user_id> is resolved at runtime so the query examples are fully executable without inference.
Note the expected shape of the merged result list (fields present per memory) so the extraction step's fallback chain is unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes competence; its prose is non-obvious domain knowledge (the implicit null-scoping behavior, absence of a list endpoint) that Claude could not infer, so every token earns its place, matching the score-5 anchor. | 5 / 5 |
Actionability | Concrete, near-copy-paste filter syntax with two named queries, a fallback extraction order, and a display template make it mostly executable; it stays at 4 rather than 5 because placeholders like <active_user_id> and the display snippet require substitution rather than being fully runnable as-is. | 4 / 5 |
Workflow Clarity | Four clearly sequenced steps with pagination and empty-state checkpoints give a clear sequence with most checkpoints present; it is not a 5 because there is no explicit validate/fix/retry feedback loop if an API call fails. | 4 / 5 |
Progressive Disclosure | A single-purpose, well-sectioned skill with no external references and clean Execution → Steps organization fits the simple-skill exception allowing a 5 for well-organized sections alone. | 5 / 5 |
Total | 18 / 20 Passed |