AgentSkillsCN

analytics-tracking

设计、审计并优化分析追踪系统，确保产出可靠且便于决策的数据。当用户希望搭建、修复或评估分析追踪（如 GA4、GTM、产品分析、事件追踪、转化率分析、UTM 参数）时，可选用此技能。本技能重点关注度量策略、信号质量与验证，而不仅限于简单地触发事件。

SKILL.md
--- frontmatter
version: 4.1.0-fractal
name: analytics-tracking
description: >
  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.

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