analytics skill
When the user wants to set up, improve, or audit analytics tracking and measurement.
Is the analytics skill safe?
Clean: nothing in its files matched our rules. We read 5 files in the folder on 2026-09-28.
No findings.
Install the analytics skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git /tmp/agentic-awesome-skills mkdir -p ~/.claude/skills cp -r /tmp/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/analytics ~/.claude/skills/analytics
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Analytics Tracking
When to Use
Use this skill when you need 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...
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:
- Business Context - What decisions will this data inform? What are key conversions?
- Current State - What tracking exists? What tools are in use?
- 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 patterns before implementing
- Document everything
4. Maintain Data Quality
- Validate implementation
- Monitor for issues
- Clean data > more data
Tracking Plan Framework
Structure
Event Name | Category | Properties | Trigger | Notes
---------- | -------- | ---------- | ------- | -----Event Types
For comprehensive event lists: See references/event-library.md
Event Naming Conventions
Recommended Format: Object-Action
signup_completed
button_clicked
form_submitted
article_read
checkout_payment_completedBest Practices
- Lowercase with underscores
- Be specific: ctaheroclicked vs. button_clicked
- Include context in properties, not event name
- Avoid spaces and special characters
- Document decisions
Essential Events
Marketing Site
Product/App
For full event library by business type: See references/event-library.md
Event Properties
Standard Properties
Best Practices
- Use consistent property names
- Include relevant context
- Don't duplicate automatic properties
- Avoid PII in properties
GA4 Implementation
Quick Setup
- Create GA4 property and data stream
- Install gtag.js or GTM
- Enable enhanced measurement
- Configure custom events
- Mark conversions in Admin
Custom Event Example
gtag('event', 'signup_completed', {
'method': 'email',
'plan': 'free'
});For detailed GA4 implementation: See references/ga4-implementation.md
Google Tag Manager
Container Structure
Data Layer Pattern
dataLayer.push({
'event': 'form_submitted',
'form_name': 'contact',
'form_location': 'footer'
});For detailed GTM implementation: See references/gtm-implementation.md
UTM Parameter Strategy
Standard Parameters
Naming Conventions
- Lowercase everything
- Use underscores or hyphens consistently
- Be specific but concise: blogfootercta, not cta1
- Document all UTMs in a spreadsheet
Debugging and Validation
Testing Tools
Validation Checklist
- [ ] Events firing on correct triggers
- [ ] Property values populating correctly
- [ ] No duplicate events
- [ ] Works across browsers and mobile
- [ ] Conversions recorded correctly
- [ ] No PII leaking
Common Issues
Privacy and Compliance
Considerations
- Cookie consent required in EU/UK/CA
- No PII in analytics properties
- Data retention settings
- User deletion capabilities
Implementation
- Use consent mode (wait for consent)
- IP anonymization
- Only collect what you need
- Integrate with consent management platform
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