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自我进化智能体：分析技能使用模式与错误率→诊断瓶颈→生成改进提案→验证→应用。当需要优化已有技能、提升工具调用成功率、或自动调优系统配置时触发。
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
统一多通道通知工具。发送分级通知（hint/info/warning/critical），检测环境前置依赖（python3/node/go 等），查询最近通知列表。
定时任务与提醒管理：创建定时提醒、周期执行任务、管理闹钟与计划。支持 cron 表达式、固定间隔和一次性定时。当用户需要定时提醒、周期执行、计划任务或查看任务历史时触发此技能。
人设文件编辑：修改工作区的SOUL.md、USER.md、BOOTSTRAP.md文件。当用户要求更新人设、个人信息、引导配置时触发。
三省六部军团管理：实例生命周期监控、三层预算治理、熔断器控制、卡死检测。当需要查看运行中的智能体实例状态或管理军团资源时使用此技能。
多智能体编排协调（三省六部治理框架）：消息总线通信、Supervisor/Pipeline/Swarm 三种编排模式、智能体间任务交接。当需要协调多个子智能体协作完成复杂任务时使用此技能。
智能体自动触发调度（三省六部治理框架）：cron 定时触发、事件驱动触发、消息匹配触发。当需要配置子智能体的自动执行计划时使用此技能。
| name | self-improving-agent |
| description | 自我进化智能体：分析技能使用模式与错误率→诊断瓶颈→生成改进提案→验证→应用。当需要优化已有技能、提升工具调用成功率、或自动调优系统配置时触发。 |
| tools | self_improving_agent |
| metadata | {"category":"tools","tree_id":"meta/self_improving_agent","tree_group":"meta","min_tier":"task_write","approval_type":"plan_confirm","emoji":"🧬","enabled_when":"always","security_level":"sandboxed","file_access":"scoped_write","scope_check":"workspace","sort_order":31,"intent_priority":10,"intent_keywords":{"zh":["自我进化","自我优化","自动改进","技能优化","性能分析","调优","提升成功率"],"en":["self-improve","self-evolve","optimize skill","performance analysis","tune","improve success rate"]},"policy_groups":["group:system"],"profiles":["full"],"related_tools":["capability_manage","memory_search"],"scene_hint":"分析技能→诊断瓶颈→生成提案→验证→应用(需exec_escalation)","summary":"Self-improving agent: analyze skill performance, diagnose bottlenecks, generate optimization proposals","title":"Self-Improving Agent","verb":"Analyze","usage_guide":"技能优化、性能分析、自动调优、提升工具调用成功率","tool_description":"自我进化智能体工具。分析技能使用模式→诊断瓶颈→生成优化提案→验证→应用。6步编排管线，auto_apply需exec_escalation。","tool_input_schema":{"type":"object","properties":{"target_skill":{"type":"string","description":"Name of the skill to analyze and improve"},"analysis_depth":{"type":"string","enum":["quick","standard","deep"],"description":"Analysis depth (default: standard)"},"auto_apply":{"type":"boolean","description":"Auto-apply optimizations (requires exec_escalation, default: false)"}},"required":["target_skill"]},"tool_schema":{"input":{"type":"object","properties":{"target_skill":{"type":"string","description":"目标技能名（留空则全局分析）"},"analysis_depth":{"type":"string","enum":["quick","standard","deep"],"description":"分析深度：quick=摘要、standard=标准诊断、deep=深度回溯"},"auto_apply":{"type":"boolean","description":"是否自动应用改进（false=仅生成提案）"}},"required":[]},"output":{"type":"object","properties":{"diagnosis":{"type":"string","description":"诊断报告"},"proposals":{"type":"array","description":"改进提案列表"},"applied":{"type":"boolean","description":"是否已应用"},"validation":{"type":"string","description":"验证结果"}}},"steps":[{"action":"scan_performance","description":"从记忆中搜索技能使用模式、错误频率、用户反馈信号","tool":"memory_search","input_map":{"query":"skill error failure rate {{input.target_skill}}"},"output_as":"perf_data","approval":"none","on_error":"skip"},{"action":"inspect_capability_tree","description":"检查能力树中目标技能节点的当前配置和路由权重","tool":"capability_manage","input_map":{"action":"get_node","node_id":"{{input.target_skill}}"},"output_as":"tree_node","approval":"none","on_error":"skip"},{"action":"find_skill_source","description":"在技能目录中查找目标技能的 SKILL.md 文件路径","tool":"bash","input_map":{"command":"find docs/skills -path '*/{{input.target_skill}}/SKILL.md' -type f 2>/dev/null | head -1"},"output_as":"skill_path","approval":"none","on_error":"skip"},{"action":"read_skill_source","description":"读取目标技能的 SKILL.md 源文件内容","tool":"read_file","input_map":{"path":"{{skill_path}}"},"output_as":"skill_content","approval":"none","on_error":"skip"},{"action":"diagnose_and_propose","description":"调用 LLM 子智能体对前序步骤收集的数据进行深度分析，生成诊断报告和优化提案","tool":"spawn_subagent","input_map":{"task":"Analyze skill {{input.target_skill}} performance data and generate optimization proposals","context":"{{perf_data}} {{tree_node}} {{skill_content}}"},"output_as":"diagnosis","approval":"plan_confirm","on_error":"skip"},{"action":"validate_proposal","description":"运行编译检查确认改进提案不引入回归","tool":"bash","input_map":{"command":"go build ./... 2>&1 | tail -20"},"output_as":"validation","approval":"plan_confirm","on_error":"abort"}]}} |
自动分析技能性能瓶颈并生成改进提案的组合工具。
扫描记忆(性能/错误) → 检查能力树配置 → 查找技能路径 → 读取技能源码 → LLM深度分析 → 验证编译
| 步骤 | 动作 | 底层工具 | 审批 | 失败策略 |
|---|---|---|---|---|
| 1 | 扫描性能数据 | memory_search | 无 | 跳过 |
| 2 | 检查能力树节点 | capability_manage | 无 | 跳过 |
| 3 | 查找技能文件路径 | bash (find) | 无 | 跳过 |
| 4 | 读取技能源码 | read_file | 无 | 跳过 |
| 5 | LLM 深度分析 | spawn_subagent | plan_confirm | 跳过 |
| 6 | 验证编译 | bash | plan_confirm | 中止 |
| 场景 | analysis_depth | auto_apply | 说明 |
|---|---|---|---|
| 快速体检 | quick | false | 扫描近期错误，输出摘要 |
| 标准诊断 | standard | false | 完整6步链路，LLM生成改进提案 |
| 自动调优 | deep | true | 深度分析+自动应用+验证回滚 |