Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable data-gathering skill with clear sequenced workflows, verification checkpoints, and a closing checklist; its only real weakness is length that could be trimmed without losing clarity.
Suggestions
Tighten overlap between 'When to Use' and 'Source Selection' — the secondary-source comparison appears in both — to reduce token cost.
Condense the File Wrapper section, which partly repeats the cross-check guidance already stated elsewhere, into a tighter bullet list.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and free of concept explanations Claude already knows, but at ~170 lines with some overlap between 'When to Use' and 'Source Selection' it could be tightened; not quite 'every token earns its place'. | 2 / 3 |
Actionability | Provides a complete, copy-paste-ready PatentSearch Python skeleton with a real query payload, plus a concrete markdown log-table template; the codeless TSDR/assignment workflows give concrete actionable steps per the instruction-skill note. | 3 / 3 |
Workflow Clarity | Each workflow (PatentSearch, TSDR, Assignment) is a clear numbered sequence with explicit verification checkpoints ('verify current endpoint names', 'cross-check document dates before citing') and a closing Review Checklist for complex passes. | 3 / 3 |
Progressive Disclosure | Well-organized into clearly signaled sections with a one-level-deep References list of official external docs; no bundle files exist to mis-nest, and the single-file structure is appropriately cohesive for this scope. | 3 / 3 |
Total | 11 / 12 Passed |