Improve skill discoverability

This commit is contained in:
Pawel Huryn
2026-03-03 08:38:42 +01:00
parent 8c5b4f9abf
commit a372bee16d
73 changed files with 73 additions and 73 deletions
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{
"name": "pm-data-analytics",
"version": "1.0.0",
"version": "1.0.1",
"description": "Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.",
"author": {
"name": "Paweł Huryn",
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---
name: ab-test-analysis
description: "Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and actionable recommendations. Use when evaluating experiment results, checking if a test is significant, interpreting A/B test data, or deciding whether to ship a variant. Triggers: A/B test, AB test, experiment results, statistical significance, test analysis, split test, which variant won."
description: "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."
---
## A/B Test Analysis
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---
name: cohort-analysis
description: "Perform cohort analysis on user engagement data. Identifies retention patterns, feature usage trends, and suggests qualitative follow-up research. Use when analyzing user retention by cohort, studying feature adoption over time, or investigating engagement patterns. Triggers: cohort analysis, retention analysis, user cohorts, engagement trends, cohort data."
description: "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."
---
# Cohort Analysis & Retention Explorer
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---
name: sql-queries
description: "Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other SQL dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL queries, analyzing databases, building reports, or exploring data. Triggers: SQL query, write SQL, database query, BigQuery, data report, generate query."
description: "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."
---
# SQL Query Generator