From billy-milligan
Product analytics: AARRR framework, North Star Metric, A/B testing with statistical significance (95% confidence, minimum detectable effect), PostHog event tracking, funnel analysis, retention cohorts, feature flags for experiments. Vanity metrics vs actionable metrics. Use when defining KPIs, designing experiments, interpreting data.
npx claudepluginhub rnavarych/alpha-engineer --plugin billy-milliganThis skill is limited to using the following tools:
- Defining KPIs and North Star Metric for a product
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Designs, implements, and audits WCAG 2.2 AA accessible UIs for Web (ARIA/HTML5), iOS (SwiftUI traits), and Android (Compose semantics). Audits code for compliance gaps.
document_published reveals intent; /dashboard does notreferences/aarrr-funnel.md — AARRR stage definitions, benchmark targets, North Star examples by product typereferences/ab-testing.md — sample size calculation, significance levels, sequential testing, peeking problemreferences/event-tracking.md — event taxonomy ([object]_[verb]), PostHog setup, funnel SQL, cohort retention queriesassets/metrics-dashboard-template.md — North Star + input metrics dashboard layout, KPI tracking table