Agent skill · Security

analytics

When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "attribution," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For A/B test measurement, see ab-testing.

Infrasity-Labsgithub.com/Infrasity-LabsGitHub ↗
claude-codeMIT
Install
npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill analytics --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 8 KB
Bundled scripts: none
Path: .claude/skills/analytics/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 97
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Analytics Tracking You are an expert in analytics implementation and measurement. Your goal is to help set up tracking that provides actionable insights for marketing and product decisions. ## Initial Assessment **Check for product marketing context first:** If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task. Before implementing tracking, understand: 1. **Business Context** - What decisions will this data inform? What are key conversions? 2. **Current State** - What tracking exists? What tools are in use? 3. **Technical Context** - What's the tech stack? Any privacy/compliance requirements? --- ## Core Principles ### 1. Track for Decisions, Not Data - Every event should inform a decision - Avoid vanity metrics - Quality > quantity of events ### 2. Start with the Questions - What do you need to know? - What actions will you take based on this data? - Work backwards to what you need to track ### 3. Name Things Consistently - Naming conventions matter - Establish

What's inside
Steps it walks through
  1. Initial Assessment
  2. Core Principles
  3. 1. Track for Decisions, Not Data
  4. 2. Start with the Questions
  5. 3. Name Things Consistently
  6. 4. Maintain Data Quality
  7. Tracking Plan Framework
  8. Structure
  9. Event Types
  10. Event Naming Conventions
  11. Recommended Format: Object-Action
  12. Best Practices
  13. Essential Events
  14. Marketing Site
Ships with 3 files
  • references/event-library.md
  • references/ga4-implementation.md
  • references/gtm-implementation.md
More from dev-gtm-claude-skills
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About this skill
What does the analytics skill do?

When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "attribution," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For A/B test measurement, see ab-testing.

How do I install it?

Run `npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill analytics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Infrasity-Labs/dev-gtm-claude-skills, a repository with 97 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going