审查实现计划中的遗漏、假设与步骤顺序,降低后续开发返工风险
复制安装指令,让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "review-plan" 技能: 1. 下载 https://raw.githubusercontent.com/microsoft/vscode-team-kit/main/review-plan/skills/review-plan/SKILL.md 2. 保存为 ~/.claude/skills/review-plan/SKILL.md 3. 装好后重载技能,告诉我可以用了
请审查下面的实现计划,重点检查是否有遗漏的需求、错误假设、依赖风险,以及任务拆分和执行顺序是否合理。请按“问题、影响、修改建议”输出,并给出是否可进入开发的结论: [粘贴计划内容]
一份结构化评审意见,指出计划缺口、风险点、顺序问题,并给出可执行的修改建议和是否可开工的结论。
这是 Plan agent 生成的 plan.md,请帮我做上线前评审。请检查范围是否清晰、验收标准是否完整、是否缺少测试和回滚方案,并列出必须修改项与可选优化项: [粘贴 plan.md]
一份面向交付的审查结果,包含范围、验收、测试、回滚等维度的检查,以及必须修改和可选优化清单。
请审查这份开发计划的步骤顺序,找出可能导致返工、阻塞或高风险的安排,并重排为更稳妥的执行顺序。请说明每一处调整的原因: [粘贴计划内容]
一版优化后的实施顺序,以及对原顺序问题和调整理由的逐项说明。
Your goal is to CRITICALLY review the given implementation plan. Provide thorough, constructive feedback that enhances the plan's quality and likelihood of successful execution and solving the stated goal.
Fan out parallel read-only subagents, each assigned a different plan-review area, then synthesize the highest-signal findings. Each subagent goes deep on one area, catching gaps a single pass misses.
Pick 2–4 areas based on the plan's complexity and risk profile.
| Area | Focus |
|---|---|
| Completeness | Missing requirements, unaddressed edge cases, gaps between the stated goal and proposed steps, unclear expected outcomes |
| Grounding | Technical soundness and factual accuracy — references to nonexistent or deprecated APIs, hallucinated functions, incorrect codebase assumptions, outdated versions. Use web search to validate uncertain claims. Suggest alternative approaches when the plan is fundamentally wrong |
| Sequencing | Dependency correctness between steps, parallelism opportunities missed, blocking-step identification, optimal ordering |
| Scope | Over-engineering, gold-plating, scope creep or under-specification, scope disproportionate to value delivered |
| Are verification steps specific, actionable, and covering the riskiest parts of the change? Missing test strategies |
| Risk | Unaddressed failure modes, migration risks, backward compatibility gaps, missing rollback strategy |
/memories/session/plan.md first.Launch 2–5 parallel subagents using the area prompts below. Each subagent works in isolation — do not share one area's findings with another before synthesis.
Each gets a self-contained prompt with its area, the plan location, and the return format. Subagents read the full plan from session memory themselves. Subagents may surface findings their area doesn't explicitly list — don't constrain them to only the listed focus items.
When all subagents return:
Always save the synthesized findings to session memory at /memories/session/plan-review.md. This makes them available for follow-up turns, plan revision, and cross-referencing during implementation.
/memories/session/plan.md), preserving the plan's existing structure.Before reporting a finding, ask: Does this change what a developer would actually do — or how likely the plan is to succeed? Ground every finding in something observable: a file that doesn't exist, an API that behaves differently, a requirement the steps don't cover, a sequence that creates rework.
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调用多模型交叉审查代码变更、PR与高风险修改,辅助发现缺陷与争议点
用于代码与分支审查,综合检查正确性、兼容性、架构、测试、性能与安全问题。