Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.
npx claudepluginhub jupitermoney/pm-superic-skills --plugin pm-data-analyticsPerform cohort analysis on user data — retention curves, feature adoption, and engagement trends
Analyze any product or engineering data — auto-detects whether you need cohort analysis, error RCA, funnel analysis, trend investigation, user segmentation, or general exploration
Analyze A/B test results — statistical significance, sample size validation, and ship/extend/stop recommendations
Generate SQL queries from natural language — supports BigQuery, PostgreSQL, MySQL, and more
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.
Expert PM data analysis across multiple modes — error RCA, cohort retention, funnel drop-off, trend investigation, user segmentation, A/B test evaluation, and exploratory analysis. Use when the analysis type is unclear, when the data needs classification before analysis, or when the question spans more than one analytical framework.
Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring databases, or translating business questions into queries.
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