crawl_config.json
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{
"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"
]
}