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错误经验库：自动捕获错误模式、根因和解决方案，支持查询和反馈更新。 当遇到 build error、runtime error 或需要查找历史错误解决方案时使用。
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Based on SOC occupation classification
上下文优化技能，通过 trigger-based 懒加载和 context composition awareness 自动重组长会话上下文。
Goal-oriented autonomous loop with external completion oracle. Keeps iterating until verifiable stopping conditions are met, checked by a separate model.
Scheduled discovery automation that runs scans on a heartbeat interval, classifies findings, and routes them to goals or triage inbox.
Active MCP connector polling that integrates external tools (issue trackers, error monitoring, CI) into the heartbeat loop for cross-system discovery.
Structured rework with git blame attribution for failed goal iterations. Maps failures to responsible changes and routes targeted fix briefs.
将 CodeGraph 作为默认内置 MCP-backed 代码图谱能力接入，用于 brownfield 符号搜索、 调用链、影响面和上下文查询。输出必须回落到 `/team-*` 主链和 artifacts。
| name | error-experience-library |
| description | 错误经验库：自动捕获错误模式、根因和解决方案，支持查询和反馈更新。 当遇到 build error、runtime error 或需要查找历史错误解决方案时使用。 |
当成功解决一个错误后，将经验沉淀：
错误类型: [如: build_error, runtime_error, type_error]
错误信息片段: [可匹配的关键词]
根因: [为什么会发生]
解决方案: [如何修复]
语言/框架: [如: python, typescript, react]
文件模式: [可选，如: **/*.ts]
标签: [如: null-check, async, import]
遇到错误时，先查询经验库：
查询关键词: [错误信息或类型]
返回: 按成功率排序的匹配模式
解决方案验证后，更新成功率：
pattern_id: 模式ID
success: true/false
~/.claude/memory/error_experience/patterns//error-lookup 命令快速查询scripts/lib/memory_store.py - 底层存储接口search_error_patterns() - 查询模式save_error_pattern() - 保存新模式record_pattern_feedback() - 记录反馈/error-lookup <关键词> - 查询历史错误模式/error-record - 记录当前错误的解决方案/error-feedback <pattern_id> <success|failure> - 更新反馈