Content
77%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 highly actionable, well-sequenced onboarding workflow with strong validation and error-handling, but it is verbose and monolithic — rationale prose and large structural artifacts (state schema, enum tables, verbatim scripts) are inlined rather than offloaded to reference files.
Suggestions
Move the verbatim user-facing dialogue blocks and the full .cheat-state.json schema into reference files under references/, keeping SKILL.md as an overview that points to them — this would improve both conciseness and progressive_disclosure.
Trim or relocate the design-rationale asides ('为什么叫 v0', '为什么单独一个文件', etc.) into a single design-notes reference; the agent needs the rule, not the history of the decision, in the main flow.
Extract the per-question enum mapping tables (Q1/Q3/Q4/Q5) into a references/mappings.md file and reference it once, reducing repeated inline tables.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient given the complexity of a multi-phase onboarding flow, but retains numerous rationale asides ('为什么叫 v0', '为什么单独一个文件') and long verbatim dialogue blocks that could be tightened without losing clarity. | 3 / 5 |
Actionability | Provides fully executable guidance: a concrete .cheat-state.json template, explicit enum mapping tables (Q1→content_form, Q3→data_collection), exact commands (chmod +x, git rm -r --cached ...), and precise file paths. | 5 / 5 |
Workflow Clarity | Phases 0–5 are clearly sequenced with explicit validation checkpoints (Phase 4 hook test, adapter verification), feedback loops (import failure → graceful degradation, hook failure → explicit user notice), and a State 字段写入清单 checklist. | 5 / 5 |
Progressive Disclosure | Section structure is reasonable and external template references are clearly signaled, but no bundle reference files exist and large inlined content (the full JSON state schema, mapping tables, verbatim dialogue) that could live in separate files makes the SKILL.md monolithic. | 3 / 5 |
Total | 16 / 20 Passed |