Content
75%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-structured, instruction-only research skill that delivers concrete data-collection dimensions, named search tools, and a pre-delivery quality gate. It is concise and actionable, with only minor room to tighten phrasing and make the research workflow more explicitly sequenced.
Suggestions
Add an explicit numbered research workflow (e.g., scope -> collect -> triangulate -> synthesize -> quality-gate) so the sequence and validation checkpoints are unmistakable.
Tighten a few descriptive rows in the tables to remove minor over-explanation and approach full token efficiency.
Note where future detailed material (e.g., a due-diligence template or source-tracking sheet) would be linked, signaling progressive disclosure intent even though no bundle files exist yet.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and table-driven, assuming Claude's competence without explaining what market research is; only minor phrasing could be trimmed, so it sits just below the fully lean 5 anchor. | 4 / 5 |
Actionability | It gives concrete, executable guidance — specific data dimensions in tables, top-down/bottom-up methods, a fixed output structure, and named tools (smart-search, browser-guide) — with only minor gaps, appropriate for an instruction-only skill. | 4 / 5 |
Workflow Clarity | Research modes are clearly structured and a pre-delivery "质量门控" checklist provides validation checkpoints, but the research flow is mode-based rather than a strictly sequenced pipeline with feedback loops, so it does not reach 5. | 4 / 5 |
Progressive Disclosure | The content is well-organized into clearly headed sections with no nested references and no bundle files needed; it is appropriately self-contained, though it could explicitly signal where deeper material would live if the skill grows. | 4 / 5 |
Total | 16 / 20 Passed |