Content
93%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 tight, highly actionable skill body with concrete filter syntax, an output template, and clear constraints. The only gap is the absence of an explicit validation/feedback checkpoint, which is largely mitigated by the read-only design.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean across "When to use", a compact filter table, and a terse "Constraints" section, with no explanation of concepts Claude already knows; not a 4 because there is no padding worth trimming beyond a single mild intro restatement. | 5 / 5 |
Actionability | Quotes "Run 2-4 parallel `search_memories` calls" with copy-paste-ready filter JSON (e.g. `{"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}, {"metadata": {"type": "decision"}}]}`) and a concrete output template fully cover the common cases. | 5 / 5 |
Workflow Clarity | The five steps (extract topics → run searches → dedupe → output → handle empty) are clearly sequenced with a zero-results checkpoint; not a 5 because there is no explicit validation/feedback loop, though the read-only nature limits that need. | 4 / 5 |
Progressive Disclosure | At well under 50 lines with no external references needed, the content is organized into clear "When to use", "Steps", and "Constraints" sections, satisfying the simple-skill exception for progressive disclosure. | 5 / 5 |
Total | 19 / 20 Passed |