{
  "project": {
    "name": "zhctprompt",
    "type": "控制项目 / Agent Native 研发与交付工作台 / 产品开发部 Prompt OS",
    "tech_stack": [
      "Markdown",
      "CSV/TSV",
      "HTML",
      "Python",
      "Node.js",
      "Shell",
      "Docker",
      "Codex Skills",
      "Prompt/Governance",
      "WeKnora/RAG 索引"
    ],
    "business_capabilities": [
      "多业务仓库控制",
      "任务队列与恢复",
      "AI Native 研发协作",
      "知识库索引",
      "手册视频证据",
      "售前招投标资料工作台",
      "周报与管理材料生成"
    ],
    "target_users": [
      "管理团队",
      "技术负责人",
      "产品/研发/测试/交付/售前成员",
      "Codex/Claude/Hermes/OpenClaw 等 Agent"
    ],
    "maturity": "基于本地证据判断为平台化中 / 规模化维护中；仍需补量化经营与质量指标。",
    "evidence_files": [
      "README.md",
      "PROJECT_IPO_USAGE_GUIDE.md",
      "standards-stack/prompt/governance/ZHCT_CONTROL_PROJECT_OPERATING_MODEL.md",
      "control/task-index/tasks.tsv"
    ]
  },
  "ai_native": {
    "detected_capabilities": [
      "Agent Skills",
      "Prompt/Governance",
      "LLM Wiki",
      "WeKnora/RAG 同步",
      "任务契约",
      "开发 Agent harness",
      "文档 review 学习闭环",
      "线程 Markdown 记录"
    ],
    "workflow_integration": [
      "需求/任务契约",
      "Agent 执行",
      "验证门禁",
      "云效-Codeup 回写",
      "手册/视频/文档生成",
      "Skill/规则沉淀"
    ],
    "model_or_agent_components": [
      "control/development-agent",
      "control/agent-control-room",
      "control/agent-notification-intake",
      "standards-stack/agent-skills",
      "standards-stack/ai-engineering"
    ],
    "prompt_or_eval_assets": [
      "standards-stack/prompt",
      "standards-stack/ai-engineering/templates/ai-coding-evaluation.md",
      "standards-stack/agent-skills/skills/*/references/evals.md"
    ],
    "evidence_strength": "强：组织、流程和资产证据充分；弱项是量化效果数据。",
    "evidence_files": [
      "README.md",
      "standards-stack/llm-wiki/ai-organization-methodology/README.md",
      "standards-stack/ai-engineering/README.md",
      "control/development-agent/README.md"
    ]
  },
  "engineering_system": {
    "ci_cd": [
      "YUNXIAO_CODEUP_SUBMISSION_PROCESS.md",
      "deployment version registries",
      "Docker 本地环境"
    ],
    "testing": [
      "control/automated-testing",
      "control/development-agent/harness",
      "validation-quickrefs"
    ],
    "quality_gates": [
      "pre_submit_check.sh",
      "TEAM_SHARED_QA_BASELINE",
      "DOCUMENT_REVIEW_LEARNING_LOOP",
      "证据等级与人审 HTML"
    ],
    "observability": [
      "agent-notification-intake",
      "运维手册和部署记录",
      "日志/告警方向材料"
    ],
    "security": [
      "不复制密钥/生产配置/SQL dump/用户隐私",
      "敏感信息脱敏规则",
      "人工门禁"
    ],
    "deployment": [
      "docker/Dockerfile",
      "docker/docker.md",
      "deploy/README.md",
      "deployment-versions"
    ],
    "developer_experience": [
      "README 启动顺序",
      "AGENTS 规则",
      "Skill 自动安装",
      "任务队列",
      "本地路径清单"
    ],
    "evidence_files": [
      "control/README.md",
      "control/scripts/pre_submit_check.sh",
      "control/development-agent/harness/dev_agent_harness.py",
      "docker/Dockerfile"
    ]
  },
  "tech_director_value": {
    "strategy": [
      "五模块 IPO 和产品开发部 Prompt OS"
    ],
    "architecture": [
      "控制项目与业务仓库边界清晰",
      "模块化入口"
    ],
    "delivery_efficiency": [
      "任务契约",
      "队列/心跳/任务索引",
      "开发 Agent harness"
    ],
    "quality_and_risk": [
      "证据等级",
      "人审 HTML",
      "敏感信息禁区",
      "提交前检查"
    ],
    "team_enablement": [
      "团队 Skill handoff",
      "线程记录",
      "AI 组织方法论"
    ],
    "technical_assets": [
      "Skills",
      "LLM Wiki",
      "WeDrive 索引",
      "手册视频资产",
      "售前模板"
    ],
    "business_value": [
      "支撑智慧食堂、售前招投标、项目交付、周报和绩效素材"
    ],
    "cost_and_sustainability": [
      "不复制大文件",
      "可恢复 RAG 同步",
      "Skill/规则可 diff 可回滚",
      "人工门禁"
    ]
  },
  "html_story_materials": {
    "recommended_title_candidates": [
      "AI Native 研发组织升级：从交付团队到技术增长引擎",
      "以 AI Native 方式重构产品研发与交付体系",
      "技术总监视角下的研发组织升级",
      "从项目制开发到 Agent Native 产品交付组织",
      "用 AI Native 工作台沉淀工程质量、交付效率与长期竞争力"
    ],
    "recommended_sections": [
      "背景与挑战",
      "技术负责人核心判断",
      "AI Native 研发组织框架",
      "当前系统与技术栈",
      "工程效率提升机制",
      "质量与风险控制机制",
      "AI 能力嵌入",
      "技术资产沉淀",
      "团队协作方式升级",
      "业务价值映射",
      "当前短板与风险",
      "下一阶段路线图"
    ],
    "strongest_evidence": [
      "README.md",
      "README.md",
      "README.md",
      "README.md",
      "README.md；standards-stack/prompt/governance/TEAM_SHARED_QA_BASELINE.md",
      "README.md；standards-stack/prompt/governance/DOCUMENT_REVIEW_LEARNING_LOOP.md",
      "README.md；standards-stack/agent-skills/skills/team-thread-markdown-record/SKILL.md",
      "standards-stack/prompt/governance/ZHCT_CONTROL_PROJECT_OPERATING_MODEL.md",
      "standards-stack/llm-wiki/ai-organization-methodology/README.md",
      "standards-stack/README.md；standards-stack/ai-engineering/README.md",
      "control/development-agent/README.md；control/development-agent/harness/dev_agent_harness.py",
      "standards-stack/prompt/governance/YUNXIAO_CODEUP_SUBMISSION_PROCESS.md"
    ],
    "missing_evidence": [
      "Lead Time",
      "PR 周期",
      "上线频率",
      "测试覆盖率",
      "缺陷逃逸率",
      "AI 节省工时",
      "Skill 复用次数",
      "模型调用成本",
      "业务收入/毛利/回款",
      "客户验收数据"
    ],
    "suggested_visualizations": [
      "能力雷达图",
      "组织操作系统图",
      "端到端交付闭环",
      "证据强度矩阵",
      "技术资产地图",
      "风险热力图",
      "路线图"
    ]
  }
}