IHS（IDE Harness Score）仓库健康评估技能。用于衡量 AI Coding IDE 驾驭能力下的代码仓技术债变化趋势，输出 IHS.md 评测报告（代码腐化、测试信号、文档对齐、变好/变坏结论）。
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目标：借鉴 OpenAI Harness Engineering 的思路（约束 + 评测 + 回归），把 AI 快速开发带来的技术债"可视化、可量化、可追踪"。
当你需要回答以下问题时触发本技能：
推荐触发词：
运行 IHS 评估检查仓库是否变好还是变坏生成 IHS 报告在仓库根目录执行：
python3 .claude/skills/ihs-repo-harness/scripts/generate_ihs_report.py --output docs/IHS.md
可选参数：
--skip-runtime-checks：跳过 type-check / test / coverage（仅静态分析）--history-window <N>：自定义文档对齐分析窗口（默认 40 commits）IHS 总分 = 代码腐化度(40%) + 测试信号(35%) + 文档对齐(25%)
关注点：
TODO/FIXME/HACK/XXXany、@ts-ignore/@ts-nocheckeslint-disable关注点：
npm run type-check 结果npm run test 结果npm run coverage -- --reporter=json-summary 结果与覆盖率摘要关注点：
AGENTS.md、docs/、README、SUPABASE_COOKBOOK）执行完成后必须产出：
docs/IHS.md好 / 坏变好 / 变坏 / 持平（对比 HEAD~1）>= 70：状态判定为 好< 70：状态判定为 坏HEAD~1 的静态趋势分对比：
Δ > 1 => 变好Δ < -1 => 变坏--skip-runtime-checks 快速出静态趋势，再按需执行全量检查No reviews yet. Tell others what you thought.
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代码仓库 AI 亲和度审计工具，支持前端、后端、全栈等各类项目。此技能用于检查给定的代码仓库对 AI Coding 工具的友好程度，生成详细的分析报告和改进建议。当用户需要评估代码仓库是否适合 AI 辅助开发、希望提升仓库的 AI 可操作性、或准备引入 AI Coding 工具前进行仓库评估时，应使用此技能。支持 TypeScript/JavaScript、Go、Java/Kotlin、Python、Rust 等主流技术栈。融合 OpenAI Harness Engineering 方法论，评估 Outer Loop（反馈闭环、评估门禁、机械化不变量）建设。
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OPC-Starter 智能开发技能。AI 亲和的 React Boilerplate 项目开发规范，支持动态上下文感知、TDD 驱动开发、Agent Studio 扩展。适用于认证系统、组织架构、Agent 工具、数据同步等模块的迭代开发。
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Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team.
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Strategic business analyst and requirements expert. Use when the user asks to talk to Mary or requests the business analyst.
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System architect and technical design leader. Use when the user asks to talk to Winston or requests the architect.
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Builds, edits or analyzes Agent Skills through conversational discovery. Use when the user requests to "Create an Agent", "Analyze an Agent" or "Edit an Agent".
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