用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ranbot-ai/awesome-skills --skill analytics-tracking命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Generate project-specific AGENTS.md and companion rules by analyzing a codebase. Supports full, minimal, update, and dry-run modes with package-manager detection, monorepos, backups, managed blocks, c
Run protected AAS maintainer sweeps, PR merge batches, canonical sync, Core preview checks, and scripted releases. Use for repository maintenance, main alignment, CLI/MCP/Workbench changes, or release
Provision backend infra through Cohesivity (cohesivity.ai): Postgres, hosting, auth, storage, and AI model APIs over one HTTP API. Use when a .cohesivity file exists or a project needs a backend.
基于 SOC 职业分类
正在显示 SKILL.md
| name | analytics-tracking |
| description | Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data. |
| category | Document Processing |
| source | antigravity |
| tags | ["ai","workflow","design","document","seo","cro","marketing"] |
| url | https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/analytics-tracking |
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.
Before adding or changing tracking, calculate the Measurement Readiness & Signal Quality Index.
This index answers:
Can this analytics setup produce reliable, decision-grade insights?
It prevents:
This is a diagnostic score, not a performance KPI.
| Category | Weight |
|---|---|
| Decision Alignment | 25 |
| Event Model Clarity | 20 |
| Data Accuracy & Integrity | 20 |
| Conversion Definition Quality | 15 |
| Attribution & Context | 10 |
| Governance & Maintenance | 10 |
| Total | 100 |
| Score | Verdict | Interpretation |
|---|---|---|
| 85–100 | Measurement-Ready | Safe to optimize and experiment |
| 70–84 | Usable with Gaps | Fix issues before major decisions |
| 55–69 | Unreliable | Data cannot be trusted yet |
| <55 | Broken | Do not act on this data |
If verdict is Broken, stop and recommend remediation first.
(Proceed only after scoring)
If no decision depends on it, don’t track it.
Define:
Then design events.
Avoid:
Prefer:
Fewer accurate events > many unreliable ones.
Navigation / Exposure
Intent Signals
Completion Signals
System / State Changes
Recommended pattern:
object_action[_context]
Examples:
Rules:
Include:
Avoid:
A conversion must represent:
Examples: