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Add or maintain CodeBuddy hook observability for projects that need local metrics for tool latency, transcript token usage, session cost, and multi-agent trace attribution. Use when wiring hook-based telemetry, debugging missing usage events, and validating…
Add or maintain CodeBuddy hook observability for projects that need local metrics for tool latency, transcript token usage, session cost, and multi-agent trace attribution. Use when wiring hook-based telemetry, debugging missing usage events, and validating…
在用户明确要求结构化、可恢复、多阶段的软件交付流程，或要求按 devflow 继续已有任务时使用。覆盖任务分级、需求、设计、计划、实现、设计稿还原、代码审查、测试、固定产物归档、知识沉淀和预览部署；适用于不同 Agent、语言、框架和仓库。普通的一次性小改、单独问答或无需流程编排的代码操作不应仅因属于软件开发而自动触发。
Source text: Chinese
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
通用知识沉淀能力 - 提供从项目交付过程中提炼可复用经验、教训和模式的标准化方法论，包括信息收集、精简提炼、结构化输出。不绑定任何特定工作流或存储方式。当用户说"帮我做知识沉淀"、"总结一下这次需求的经验"、"记录一下踩坑"、"沉淀一下这次的技术决策"、"做个复盘"时使用本技能。
Source text: Chinese
通用技术方案撰写技能。根据需求输入（需求分析报告或口头描述）自动生成结构完整的技术方案 Markdown 文档。当用户说"帮我写技术方案"、"出一个技术设计文档"、"写一份 design doc"、"给这个需求出方案"时使用本技能。
Source text: Chinese
Use when you have a spec or requirements for a multi-step task, before touching code
在 Codex 中运行 devflow。用户提到 devflow、start/resume/status/abort devflow、多 agent 工作流，或要求“按 Codex devflow 跑”时使用。
Source text: Chinese
通用知识沉淀能力。用于从 devflow 或其他交付过程的需求、设计、实现、审查、测试产物中提炼可复用经验、技术决策、踩坑记录和流程改进。
Source text: Chinese
Use during devflow TASK-01 requirement clarification before design or implementation. Explores user intent, requirements, constraints, and success criteria.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
在技术设计前澄清软件交付需求，解决重要产品决策、隐含假设、范围边界、成功标准和未决分支。用于 DevFlow medium/large 的 REQUIREMENT 阶段，或功能请求过于模糊、无法安全设计时。只询问无法从项目证据中回答的问题；不实现、不提交、不写技术方案，也不调用计划类 skill。
Source text: Chinese
Copy this prompt into the AI assistant you're using.
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