From pm-analytics
Interprets product metrics against targets and produces structured health reports with RAG status, trend analysis, root cause hypotheses, and prioritised actions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/pm-analytics:product-health-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Transform raw metrics data into a clear health narrative — what's working, what's not, and what needs immediate attention.
Transform raw metrics data into a clear health narrative — what's working, what's not, and what needs immediate attention.
Ask the user for these if not provided:
Analyse across four layers:
Overall Health: 🟢 On Track / 🟡 Watch / 🔴 Action Required
| Metric | Current | Target | vs. Last Period | Status |
|---|---|---|---|---|
| [metric] | [value] | [target] | [+/-%] | [🟢/🟡/🔴] |
Key Observations: [3-5 bullet observations written in plain English]
Areas Requiring Investigation:
Recommended Actions: [Specific next steps with owners and timelines]
npx claudepluginhub mohitagw15856/pm-claude-skills --plugin pm-analyticsReviews product metrics with trend analysis, scorecard tables, and actionable insights. Use for periodic reviews, anomaly investigations, target comparisons, or data organization.
Reviews product metrics — trends, anomalies, root causes, and action recommendations. Supports North Star decomposition (L1/L2), retention diagnostics, funnel analysis, A/B experiment reading, and OKR alignment checks. Triggered via /pm-metrics.
Reviews product metrics to identify trends, anomalies, and connections to OKRs, launches, experiments, and changes; provides actionable recommendations.