PacemakerG

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.

AI 生成代码采纳率归因分析。基于三步分步归因架构（逐层穿透定位首因层 → 决策树选择问题类型 → 根因子变体判定）+ 三层 Change Intent 聚类 + evidence_type/structure_type 确定性推导，对 AI 生成代码在交付过程中被人工修改/删除的部分进行全链路归因。当用户提到"采纳率归因""代码归因""AI代码质量分析"时激活。