Content
67%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.
The skill body is a well-structured, actionable interview-to-research workflow with clear sequencing and a verification checkpoint. Its weakest point is conciseness, driven largely by a duplicated Handoff Context block and verbose AI-related question wording.
Suggestions
Remove the duplication between the Handoff Context template block and the "Output contract" section by defining the fields once and referencing them, to cut redundant tokens.
Tighten the AI/builder-related interview questions (Steps 2 and the Step 4 bullets) to concrete prompts without stacking multiple provider/framework names into one sentence.
Add one or two example WebSearch queries in Step 4 so the research-gathering step is fully executable rather than directional.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and sectioned, but the Handoff Context block is duplicated (template plus repeated fields in "Output contract") and several AI/builder question items are verbose, indicating tightening opportunity. | 3 / 5 |
Actionability | Verbatim interview questions, an exact verification-echo template, a numbered output format, and a concrete output path give mostly executable guidance, with the minor gap of no example WebSearch queries. | 4 / 5 |
Workflow Clarity | Steps 1-4 are clearly sequenced with a confirmation checkpoint before research generation and interview rules handling skipped/vague answers; the only gap is limited validation of the research findings themselves when browsing is unavailable. | 4 / 5 |
Progressive Disclosure | No bundle files exist and the content is organized into well-labeled sections with no nested references; the three 10-item per-level question banks could be split out but are reasonable inline for an interview skill. | 4 / 5 |
Total | 15 / 20 Passed |