Content
87%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A tight, actionable workflow with exact API calls and output templates. The only gap is the absence of an explicit error-recovery loop and handling for the pagination cap, which leaves workflow clarity just short of full marks.
Suggestions
Add an explicit feedback/checkpoint for the pagination cap, e.g. note what to do when 1000 memories are reached (truncation warning or continue-paging guidance).
Include a brief error-recovery step for failed get_memories calls (retry/merge handling) to close the workflow-clarity gap.
Optionally add a one-line verification that the merged, deduplicated result is internally consistent before display.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean: exact filter calls, a terse display template, and an empty-state string, with every token earning its place and no explaining of concepts Claude already knows. | 3 / 3 |
Actionability | It provides copy-paste-ready filter syntax (e.g. filters={"AND": [{"user_id": ...}]} with page_size=200), a four-rule project-resolution fallback, and an exact output template — fully executable guidance. | 3 / 3 |
Workflow Clarity | Steps 1–4 are clearly sequenced with checkpoints (parallel fetch, pagination, dedup by id, empty-state fallback), but there is no explicit error-recovery feedback loop and the 1000-memory pagination cap lacks a truncation/verification note. | 2 / 3 |
Progressive Disclosure | A single self-contained ~55-line file with no need for external references, organized into clear Execution/Step sections — appropriate for a skill this size with no bundle files. | 3 / 3 |
Total | 11 / 12 Passed |