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.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionanalytics-trackingExecute the skills CLI command in your project's root directory to begin installation:
Fetches analytics-tracking from davila7/claude-code-templates and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate analytics-tracking. Access via /analytics-tracking in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
Before implementing tracking, understand:
Business Context
Current State
Technical Context
Event Name | Event Category | Properties | Trigger | Notes
---------- | ------------- | ---------- | ------- | -----
Pageviews
User Actions
System Events
Custom Conversions
Object-Action (Recommended)
signup_completed
button_clicked
form_submitted
article_read
Action-Object
click_button
submit_form
complete_signup
Category_Object_Action
checkout_payment_completed
blog_article_viewed
onboarding_step_completed
cta_hero_clicked vs. button_clickedNavigation
Engagement
Conversion
Onboarding
Core Usage
Monetization
Browsing
Cart
Checkout
Page/Screen
User
Campaign
Product (e-commerce)
Timing
Data Streams
Enhanced Measurement Events
Recommended Events
// gtag.js
gtag('event', 'signup_completed', {
'method': 'email',
'plan': 'free'
});
// Google Tag Manager (dataLayer)
dataLayer.push({
'event': 'signup_completed',
'method': 'email',
'plan': 'free'
});
When to use:
Setup:
Tags
Triggers
Variables
// Push custom event
dataLayer.push({
'event': 'form_submitted',
'form_name': 'contact',
'form_location': 'footer'
});
// Set user properties
dataLayer.push({
'user_id': '12345',
'user_type': 'premium'
});
// E-commerce event
dataLayer.push({
'event': 'purchase',
'ecommerce': {
'transaction_id': 'T12345',
'value': 99.99,
'currency': 'USD',
'items': [{
'item_id': 'SKU123',
'item_name': 'Product Name',
'price': 99.99
}]
}
});
| Parameter | Purpose | Example |
|---|---|---|
| utm_source | Where traffic comes from | google, facebook, newsletter |
| utm_medium | Marketing medium | cpc, email, social, referral |
| utm_campaign | Campaign name | spring_sale, product_launch |
| utm_content | Differentiate versions | hero_cta, sidebar_link |
| utm_term | Paid search keywords | running+shoes |
Lowercase everything
Use underscores or hyphens consistently
Be specific but concise
Track all UTMs in a spreadsheet or tool:
| Campaign | Source | Medium | Content | Full URL | Owner | Date |
|---|---|---|---|---|---|---|
| ... | ... | ... | ... | ... | ... | ... |
Provide a consistent UTM builder link to team:
GA4 DebugView
GTM Preview Mode
Browser Extensions
Events not firing
Wrong values
Duplicate events
Consent Mode (GA4)
Data Minimization
# [Site/Product] Tracking Plan
## Overview
- Tools: GA4, GTM
- Last updated: [Date]
- Owner: [Name]
## Events
### Marketing Events
| Event Name | Description | Properties | Trigger |
|------------|-------------|------------|---------|
| signup_started | User initiates signup | source, page | Click signup CTA |
| signup_completed | User completes signup | method, plan | Signup success page |
### Product Events
[Similar table]
## Custom Dimensions
| Name | Scope | Parameter | Description |
|------|-------|-----------|-------------|
| user_type | User | user_type | Free, trial, paid |
## Conversions
| Conversion | Event | Counting | Google Ads |
|------------|-------|----------|------------|
| Signup | signup_completed | Once per session | Yes |
## UTM Convention
[Guidelines]
Provide ready-to-use code snippets
Specific validation steps
If you need more context:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
davila7/claude-code-templates
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
Useful defaults in analytics-tracking — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: analytics-tracking is focused, and the summary matches what you get after install.
I recommend analytics-tracking for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
analytics-tracking is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend analytics-tracking for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
analytics-tracking is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: analytics-tracking is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in analytics-tracking — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: analytics-tracking is focused, and the summary matches what you get after install.
Registry listing for analytics-tracking matched our evaluation — installs cleanly and behaves as described in the markdown.
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