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pm-ai-shipping: mandatory Evidence citations verified before reporting, concrete subagent fan-out contract, read-only allowed-tools on both audits, N+1/waterfall detection and a refute pass in the performance audit, untrusted-input hardening across the kit, parallel audits in /ship-check, severity anchors + report consolidation, repo-relative paths. Repo: CHANGELOG.md as release source of truth with auto-tag-and-release on merge to main (adapted from phuryn/claude-usage, minus the .vsix build), Tests workflow on every PR/push, unit + docs-consistency test suite, contributor-credit conventions in CONTRIBUTING, all manifests synced at 2.1.0. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011URgT9hYuNrXeCvzjnqRxJ
pm-data-analytics
Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.
Skills (3)
- ab-test-analysis — Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and actionable recommendations.
- cohort-analysis — Perform cohort analysis on user engagement data.
- sql-queries — Generate SQL queries from natural language descriptions.
Commands (3)
/pm-data-analytics:analyze-cohorts— Perform cohort analysis on user data — retention curves, feature adoption, and engagement trends./pm-data-analytics:analyze-test— Analyze A/B test results — statistical significance, sample size validation, and ship/extend/stop recommendations./pm-data-analytics:write-query— Generate SQL queries from natural language — supports BigQuery, PostgreSQL, MySQL, and more.
Author
Paweł Huryn — The Product Compass Newsletter
License
MIT