Claude skillsfor analytics & metrics

The 7 skills and connectors we'd install first, in order. Hand-picked from product managers tools reviewed on SkillHub.

Task

Analytics & metrics

7 picks · install in this order

Metrics DefinerSkill
Defines a primary success metric plus 2-3 secondary metrics for a feature or initiative, with exact definitions, measurement method and targets.
Measure Experiment DesignSkill
Designs an A/B test or experiment with variants, success metrics, sample size, and duration for an existing hypothesis.
Trustworthy ExperimentsSkill
Use when asked to "run an A/B test", "design an experiment", "check statistical significance", "trust our results", "avoid false positives", or "experiment guardrails".
Experiment ReviewSkill
Analyze A/B tests and experiments with statistical rigor, assess significance, perform segment analysis, and produce a clear ship/kill/extend recommendation.
Metrics AnalyzerSkill
Analyze product data from a CSV file or pasted data. Finds trends, anomalies, segments, and actionable insights. Ask questions about your data in plain English.
PostHog MCPConnects to PostHog
Official PostHog MCP — query session replays, funnels, heatmaps, and feature flags from Claude for design-led decisions.
Hierarchy Of EngagementSkill
Use when asked to "define our core action", "North Star metric", "accruing benefits", "improve retention mechanics", "hierarchy of engagement", or "Sarah Tavel framework".

02Workflow recipes

Design an A/B test, read the results honestly and make a ship, kill or extend call.

Turn a week of scattered work into a clean 3P (Progress / Plans / Problems) update your team will actually read.

Go from a hazy topic to a doc your team will actually finish reading. Research-grounded, structured, ready to publish.

We're actively curating this list. If your skill or MCP server belongs here, submit it and we'll review within a few days.