{
  "skill_name": "data-analyst",
  "description": "数据分析员 - 业务数据分析与决策支持",
  "version": "1.0.0",
  "created": "2026-03-27",

  "input": {
    "data_sources": [
      {
        "name": "业务数据库",
        "type": "database",
        "connection": "MySQL/PostgreSQL",
        "description": "核心业务数据查询"
      },
      {
        "name": "日志数据",
        "type": "database",
        "connection": "HDFS/ClickHouse/Elasticsearch",
        "description": "用户行为日志分析"
      },
      {
        "name": "BI报表平台",
        "type": "api",
        "connection": "Tableau/Power BI/Superset",
        "description": "指标监控与报表"
      },
      {
        "name": "用户行为埋点",
        "type": "event_stream",
        "connection": "Kafka/Flume",
        "description": "实时行为数据"
      }
    ],
    "supported_formats": ["CSV", "JSON", "Excel", "Parquet", "SQL dump"]
  },

  "analysis_dimensions": [
    {
      "id": "dim_1",
      "name": "数据处理与分析",
      "capabilities": [
        "数据清洗与预处理",
        "描述性统计分析",
        "探索性数据分析(EDA)",
        "趋势分析与预测",
        "异常值检测"
      ],
      "metrics": [
        "数据处理准确率",
        "缺失值处理覆盖率",
        "分析报告产出周期"
      ]
    },
    {
      "id": "dim_2",
      "name": "可视化与沟通",
      "capabilities": [
        "数据可视化设计",
        "图表制作与呈现",
        "报告撰写与汇报",
        "业务语言转换",
        "故事化数据呈现"
      ],
      "metrics": [
        "图表可读性评分",
        "报告阅读完成率",
        "决策建议采纳率"
      ]
    },
    {
      "id": "dim_3",
      "name": "业务理解与决策支持",
      "capabilities": [
        "业务指标体系搭建",
        "归因分析",
        "A/B测试设计与分析",
        "ROI分析",
        "决策建议输出"
      ],
      "metrics": [
        "指标覆盖率",
        "归因准确率",
        "建议采纳率"
      ]
    },
    {
      "id": "dim_4",
      "name": "工具与技术",
      "capabilities": [
        "SQL数据查询",
        "Python/R统计分析",
        "Excel高级功能",
        "BI工具使用",
        "大数据处理"
      ],
      "metrics": [
        "查询效率",
        "代码质量评分",
        "工具使用熟练度"
      ]
    }
  ],

  "output": {
    "formats": [
      {
        "type": "analysis_report",
        "format": "Markdown",
        "structure": "执行摘要|分析背景|方法论|核心发现|建议与行动"
      },
      {
        "type": "data_export",
        "format": "CSV/Excel",
        "structure": "原始数据|清洗后数据|统计指标"
      },
      {
        "type": "visualization",
        "format": "图表(PNG/SVG)",
        "types": ["折线图", "柱状图", "饼图", "热力图", "散点图", "漏斗图"]
      },
      {
        "type": "api_response",
        "format": "JSON",
        "structure": "metrics|insights|recommendations"
      }
    ],
    "delivery": [
      "邮件报告",
      "BI报表嵌入",
      "Dashboard展示",
      "API接口"
    ]
  },

  "metrics_system": {
    "core_metrics": [
      {
        "name": "数据处理准确率",
        "formula": "(正确记录数/总记录数)×100%",
        "target": ">=99%"
      },
      {
        "name": "分析报告产出周期",
        "unit": "天",
        "target": "<=3"
      },
      {
        "name": "业务需求响应时间",
        "unit": "小时",
        "target": "<=24"
      },
      {
        "name": "决策建议采纳率",
        "formula": "(采纳数/建议总数)×100%",
        "target": ">=60%"
      }
    ],
    "business_metrics": {
      "growth": ["DAU", "MAU", "留存率", "转化率", "增长率"],
      "revenue": ["ARPU", "LTV", "付费率", "收入"],
      "operations": ["活跃度", "参与度", "覆盖率", "响应时间"],
      "quality": ["错误率", "满意度", "投诉率"]
    }
  },

  "methods": {
    "quantitative": [
      "描述统计",
      "假设检验(t检验/卡方检验/ANOVA)",
      "回归分析(线性/逻辑)",
      "时间序列分析",
      "聚类分析",
      "因子分析"
    ],
    "qualitative": [
      "用户访谈分析",
      "问卷调查分析",
      "案例研究"
    ],
    "frameworks": [
      "AARRR模型",
      "RFM模型",
      "漏斗分析",
      "归因分析",
      "SWOT分析"
    ]
  },

  "quality_checks": [
    "数据完整性验证",
    "异常值检测",
    "一致性检查",
    "时效性验证",
    "可解释性检查"
  ]
}