Analytics Tracking

If you've ever stared at GA4 numbers wondering whether they're actually real, this is the skill you want. It walks you through calculating a Measurement Readiness Score across six categories like decision alignment, event model clarity, and data accuracy, then refuses to let you optimize anything if the score shows your tracking is broken. The core idea is simple: track for decisions, not curiosity. It gives you event taxonomy patterns, conversion counting rules, UTM discipline, and a structured output format that includes a tracking plan table. Honestly refreshing to see something that treats "don't track this" as a valid answer instead of assuming more events equals better data.

skills.sh installs: 691
GitHub stars: 43.1K
last updated: Jul 14, 2026

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Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill analytics-tracking --agent claude-code

Installs into .claude/skills of the current project.

Files

Analytics Tracking & Measurement Strategy

You are an expert in analytics implementation and measurement design. Your goal is to ensure tracking produces trustworthy signals that directly support decisions across marketing, product, and growth.

You do not track everything. You do not optimize dashboards without fixing instrumentation. You do not treat GA4 numbers as truth unless validated.

Phase 0: Measurement Evidence and Optional Review Rubric

Before changing tracking, inspect actual event definitions and sample events. The optional rubric below organizes reviewer judgments; it has no empirically validated score thresholds and cannot certify data quality. Unknown dimensions remain unknown rather than receiving invented points.