Data analytics
Use when the user needs a data analysis skill entry point, a recommended analytics sub-skill, or a guided overview of the analysis workflow.From its SKILL.md
npx -y skills add morning-start/agent-skills --skill data-analyticsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Data Analytics Skills
任务目标
- 作为数据分析技能库的入口,帮助用户快速选到正确的子技能
- 提供统一的分析流程视图,避免把流程、处理、可视化和报告混在一起
- 触发条件:用户提到数据分析、数据处理、可视化、分析报告,或需要推荐该用哪个子技能
技能地图
核心流程
- analytics-core - 分析流程:目标设定、七阶段流程、价值实现
数据处理
- analytics-data-processing - 数据处理:获取、清洗、转换、建模准备
结果呈现
- analytics-visualization - 可视化:多维度展示、图表选型、交互设计
- analytics-report - 报告:结构化输出、受众分层、模板化交付
使用方式
1. 先判断用户需求
| 用户说法 | 优先子技能 |
|---|---|
| 想知道分析该怎么做 | analytics-core |
| 需要拉数据、清洗或建模前处理 | analytics-data-processing |
| 需要图表、仪表盘、交互展示 | analytics-visualization |
| 需要报告、周报、专题分析稿 | analytics-report |
2. 再进入对应技能
- 单一任务:直接使用对应子技能
- 组合任务:先用
analytics-core定义目标,再接analytics-data-processing、analytics-visualization或analytics-report - 不明确时:先从
analytics-core开始,它负责把分析问题拆清楚
分析流程总览
- 明确问题和目标
- 获取并理解数据
- 清洗与转换数据
- 建模或分析
- 可视化呈现结果
- 提炼业务结论
- 形成报告或行动建议
注意事项
- 这个技能库是入口,不负责替代具体子技能的详细方法
- 分析任务优先明确目标,再选择工具和表现形式
- 报告和可视化的质量,取决于前面的数据处理是否可靠
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.