Content
86%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 workflow skill with highly actionable commands, clear sequencing, and strong feedback loops for permission and missing-artifact cases. The main gap is the absence of an explicit final validation/completeness check for the batch aggregation.
Suggestions
Add a final verification step in Step 4 (e.g., confirm the count of summarized meetings equals the searched meeting count, and explicitly list any meetings skipped as '无纪要') to close the batch-validation gap.
Trim minor filler such as '学习命令使用方式' and '你更佳擅长解析 JSON 数据' to lift conciseness to a 5.
Make the time-range splitting rule in Step 2 an explicit checkpoint (split >1 month into monthly sub-queries, then assert all sub-results merged) so the batch sequence is fully self-checking.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense, technical content with concrete parameters and limits that assumes Claude's competence; only minor over-explanation (e.g. "你更佳擅长解析 JSON 数据", "学习命令使用方式") keeps it just below a 5. | 4 / 5 |
Actionability | Provides copy-paste-ready executable commands with real flags and placeholders for every step (vc +search, vc +detail, note +detail, drive metas batch_query, docs +create/+update) plus the fallback minutes path, covering the common cases. | 5 / 5 |
Workflow Clarity | A clear 5-step sequence with a diagram and explicit checkpoints (page_token pagination, 50-meeting/10-doc batching, permission retry loop, missing-note_id fallback); it is not a 5 because there is no explicit final completeness/verification check after the batch aggregation. | 4 / 5 |
Progressive Disclosure | The SKILL.md is a concise overview that pushes command semantics and scene detail to clearly signaled one-level-deep references (lark-shared, lark-meeting, lark-doc, scene docs, command reference files) in a dedicated 参考 section, with easy navigation. | 5 / 5 |
Total | 18 / 20 Passed |