analytics-tracking
Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data. Use when the user wants to set up, fix, or evaluate analytics tracking (GA4, GTM, product analytics, events, conversions, UTMs). This skill focuses on measurement strategy, signal quality, and validation— not just firing events.
Install with Tessl CLI
npx tessl i github:Dokhacgiakhoa/antigravity-ide --skill analytics-trackingOverall
score
62%
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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 Readiness & Signal Quality Index (Required)
Before adding or changing tracking, calculate the Measurement Readiness & Signal Quality Index.
🧠 Knowledge Modules (Fractal Skills)
1. Purpose
2. Total Score: 0–100
3. Scoring Categories & Weights
4. Category Definitions
5. Readiness Bands (Required)
6. 1. Business Context
7. 2. Current State
8. 3. Technical & Compliance Context
9. 1. Track for Decisions, Not Curiosity
10. 2. Start with Questions, Work Backwards
11. 3. Events Represent Meaningful State Changes
12. 4. Data Quality Beats Volume
13. Event Taxonomy
14. Event Naming Conventions
15. Event Properties (Context, Not Noise)
16. What Qualifies as a Conversion
17. Conversion Counting Rules
18. UTM Rules
19. Required Validation
20. Common Failure Modes
21. Measurement Strategy Summary
22. Tracking Plan
23. Conversions
24. Implementation Notes
- Repository
- github.com/Dokhacgiakhoa/antigravity-ide
- Last updated
- Created
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