claude

pm-data-analytics

数据分析:自然语言生成 SQL(BigQuery/PostgreSQL/MySQL)、同期群分析(留存+功能采用)、A/B 测试分析(显著性+上线/延长/停止建议)。

0 on GitHubby Paweł Hurynv2.1.0MITupdated 2 months agoproduct-management
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Plugin pm-data-analytics from marketplace skill-arsenal-ultra in Choi-Keith/skill-arsenal-ultra. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (3)

  • ab-test-analysis

    分析 A/B 测试结果,包含统计显著性、样本量校验、置信区间,以及上线/延长/停止建议。适用于评估实验结果、检查测试是否达到显著性、解读分流测试数据,或决定是否发布某个变体。

  • cohort-analysis

    对用户参与度数据进行同期群(cohort)分析——留存曲线、功能采用趋势和分层洞察。适用于按同期群分析用户留存、研究功能采用随时间的变化、调查流失模式或识别参与度趋势。

  • sql-queries

    根据自然语言描述生成 SQL 查询。支持 BigQuery、PostgreSQL、MySQL 及其他方言。可从上传的图表或文档中读取数据库 schema。适用于编写 SQL、构建数据报表、探索数据库,或将业务问题转化为查询。

Slash commands (3)

  • /pm-data-analytics:analyze-cohorts

    对用户数据进行同期群分析——留存曲线、功能采用和参与度趋势

  • /pm-data-analytics:analyze-test

    分析 A/B 测试结果——统计显著性、样本量校验,以及上线/延长/停止建议

  • /pm-data-analytics:write-query

    根据自然语言生成 SQL 查询——支持 BigQuery、PostgreSQL、MySQL 等

View source on GitHub productcompass.pm

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投资研究:四大师综合分析框架(巴菲特/芒格/段永平/李录)、四角色并行投研团队、行业产业链全景研究、管理层纵深评估(买股票就是买人)、未上市公司 6 Agent 拼图式研究、收益型投资分析、段永平问答、财务数据交叉验证规范。

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