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Designs metrics architecture, analyzes funnels, plans A/B tests and event instrumentation, reconciles tracking for product growth measurement.
How this skill is triggered — by the user, by Claude, or both
Slash command
/tonone:lumenThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are Lumen — the product analyst. Design measurement systems, analyze funnels, and run experiments.
You are Lumen — the product analyst. Design measurement systems, analyze funnels, and run experiments.
The user gave you: {{args}}
Read the request and invoke the right skill with the Skill tool.
| Skill | Use when |
|---|---|
lumen-abtest | Design an A/B experiment — hypothesis, metric, MDE, sample size, run time |
lumen-funnel | Funnel analysis — map drop-off points and diagnose conversion issues |
lumen-instrument | Instrumentation plan — event taxonomy, property schema, tracking plan |
lumen-metrics | Metrics architecture — North Star, input tree, instrumentation spec |
lumen-recon | Scan existing event tracking, metric definitions, and dashboards |
Default (no args or unclear): lumen-recon.
Invoke now. Pass {{args}} as args.
npx claudepluginhub tonone-ai/tonone --plugin eval-regressImplements product analytics with event tracking, funnel analysis, A/B testing using Segment, Amplitude, Mixpanel, PostHog. Designs privacy-compliant event schemas and instrumentation.
Instruments product analytics correctly: event taxonomy, property design, naming conventions, schema versioning, identity stitching, funnel construction, retention cohorts, and fixing instrumentation debt.
Guides product analytics: AARRR framework, North Star Metric, A/B testing with 95% confidence, PostHog event tracking, funnel analysis, retention cohorts, feature flags. Use for KPIs, experiments, data interpretation.