analytics-tracking

davila7/claude-code-templates · updated Apr 8, 2026

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$npx skills add https://github.com/davila7/claude-code-templates --skill analytics-tracking
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summary

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.

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

Before implementing tracking, understand:

  1. Business Context

    • What decisions will this data inform?
    • What are the key conversion actions?
    • What questions need answering?
  2. Current State

    • What tracking exists?
    • What tools are in use (GA4, Mixpanel, Amplitude, etc.)?
    • What's working/not working?
  3. Technical Context

    • What's the tech stack?
    • Who will implement and maintain?
    • 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 | Event Category | Properties | Trigger | Notes
---------- | ------------- | ---------- | ------- | -----

Event Types

Pageviews

  • Automatic in most tools
  • Enhanced with page metadata

User Actions

  • Button clicks
  • Form submissions
  • Feature usage
  • Content interactions

System Events

  • Signup completed
  • Purchase completed
  • Subscription changed
  • Errors occurred

Custom Conversions

  • Goal completions
  • Funnel stages
  • Business-specific milestones

Event Naming Conventions

Format Options

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

Best Practices

  • Lowercase with underscores
  • Be specific: cta_hero_clicked vs. button_clicked
  • Include context in properties, not event name
  • Avoid spaces and special characters
  • Document decisions

Essential Events to Track

Marketing Site

Navigation

  • page_view (enhanced)
  • outbound_link_clicked
  • scroll_depth (25%, 50%, 75%, 100%)

Engagement

  • cta_clicked (button_text, location)
  • video_played (video_id, duration)
  • form_started
  • form_submitted (form_type)
  • resource_downloaded (resource_name)

Conversion

  • signup_started
  • signup_completed
  • demo_requested
  • contact_submitted

Product/App

Onboarding

  • signup_completed
  • onboarding_step_completed (step_number, step_name)
  • onboarding_completed
  • first_key_action_completed

Core Usage

  • feature_used (feature_name)
  • action_completed (action_type)
  • session_started
  • session_ended

Monetization

  • trial_started
  • pricing_viewed
  • checkout_started
  • purchase_completed (plan, value)
  • subscription_cancelled

E-commerce

Browsing

  • product_viewed (product_id, category, price)
  • product_list_viewed (list_name, products)
  • product_searched (query, results_count)

Cart

  • product_added_to_cart
  • product_removed_from_cart
  • cart_viewed

Checkout

  • checkout_started
  • checkout_step_completed (step)
  • payment_info_entered
  • purchase_completed (order_id, value, products)

Event Properties (Parameters)

Standard Properties to Consider

Page/Screen

  • page_title
  • page_location (URL)
  • page_referrer
  • content_group

User

  • user_id (if logged in)
  • user_type (free, paid, admin)
  • account_id (B2B)
  • plan_type

Campaign

  • source
  • medium
  • campaign
  • content
  • term

Product (e-commerce)

  • product_id
  • product_name
  • category
  • price
  • quantity
  • currency

Timing

  • timestamp
  • session_duration
  • time_on_page

Best Practices

  • Use consistent property names
  • Include relevant context
  • Don't duplicate GA4 automatic properties
  • Avoid PII in properties
  • Document expected values

GA4 Implementation

Configuration

Data Streams

  • One stream per platform (web, iOS, Android)
  • Enable enhanced measurement

Enhanced Measurement Events

  • page_view (automatic)
  • scroll (90% depth)
  • outbound_click
  • site_search
  • video_engagement
  • file_download

Recommended Events

Custom Events (GA4)

// gtag.js
gtag('event', 'signup_completed', {
  'method': 'email',
  'plan': 'free'
});

// Google Tag Manager (dataLayer)
dataLayer.push({
  'event': 'signup_completed',
  'method': 'email',
  'plan': 'free'
});

Conversions Setup

  1. Collect event in GA4
  2. Mark as conversion in Admin > Events
  3. Set conversion counting (once per session or every time)
  4. Import to Google Ads if needed

Custom Dimensions and Metrics

When to use:

  • Properties you want to segment by
  • Metrics you want to aggregate
  • Beyond standard parameters

Setup:

  1. Create in Admin > Custom definitions
  2. Scope: Event, User, or Item
  3. Parameter name must match

Google Tag Manager Implementation

Container Structure

Tags

  • GA4 Configuration (base)
  • GA4 Event tags (one per event or grouped)
  • Conversion pixels (Facebook, LinkedIn, etc.)

Triggers

  • Page View (DOM Ready, Window Loaded)
  • Click - All Elements / Just Links
  • Form Submission
  • Custom Events

Variables

  • Built-in: Click Text, Click URL, Page Path, etc.
  • Data Layer variables
  • JavaScript variables
  • Lookup tables

Best Practices

  • Use folders to organize
  • Consistent naming (Tag_Type_Description)
  • Version notes on every publish
  • Preview mode for testing
  • Workspaces for team collaboration

Data Layer Pattern

// 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
    }]
  }
});

UTM Parameter Strategy

Standard Parameters

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

Naming Conventions

Lowercase everything

  • google, not Google
  • email, not Email

Use underscores or hyphens consistently

  • product_launch or product-launch
  • Pick one, stick with it

Be specific but concise

  • blog_footer_cta, not cta1
  • 2024_q1_promo, not promo

UTM Documentation

Track all UTMs in a spreadsheet or tool:

Campaign Source Medium Content Full URL Owner Date
... ... ... ... ... ... ...

UTM Builder

Provide a consistent UTM builder link to team:

  • Google's URL builder
  • Internal tool
  • Spreadsheet formula

Debugging and Validation

Testing Tools

GA4 DebugView

  • Real-time event monitoring
  • Enable with ?debug_mode=true
  • Or via Chrome extension

GTM Preview Mode

  • Test triggers and tags
  • See data layer state
  • Validate before publish

Browser Extensions

  • GA Debugger
  • Tag Assistant
  • dataLayer Inspector

Validation Checklist

  • Events firing on correct triggers
  • Property values populating correctly
  • No duplicate events
  • Works across browsers
  • Works on mobile
  • Conversions recorded correctly
  • User ID passing when logged in
  • No PII leaking

Common Issues

Events not firing

  • Trigger misconfigured
  • Tag paused
  • GTM not loaded on page

Wrong values

  • Variable not configured
  • Data layer not pushing correctly
  • Timing issues (fire before data ready)

Duplicate events

  • Multiple GTM containers
  • Multiple tag instances
  • Trigger firing multiple times

Privacy and Compliance

Considerations

  • Cookie consent required in EU/UK/CA
  • No PII in analytics properties
  • Data retention settings
  • User deletion capabilities
  • Cross-device tracking consent

Implementation

Consent Mode (GA4)

  • Wait for consent before tracking
  • Use consent mode for partial tracking
  • Integrate with consent management platform

Data Minimization

  • Only collect what you need
  • IP anonymization
  • No PII in custom dimensions

Output Format

Tracking Plan Document

# [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]

Implementation Code

Provide ready-to-use code snippets

Testing Checklist

Specific validation steps


Questions to Ask

If you need more context:

  1. What tools are you using (GA4, Mixpanel, etc.)?
  2. What key actions do you want to track?
  3. What decisions will this data inform?
  4. Who implements - dev team or marketing?
  5. Are there privacy/consent requirements?
  6. What's already tracked?

Related Skills

  • ab-test-setup: For experiment tracking
  • seo-audit: For organic traffic analysis
  • page-cro: For conversion optimization (uses this data)
how to use analytics-tracking

How to use analytics-tracking on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add analytics-tracking
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/davila7/claude-code-templates --skill analytics-tracking

The skills CLI fetches analytics-tracking from GitHub repository davila7/claude-code-templates and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/analytics-tracking

Reload or restart Cursor to activate analytics-tracking. Access the skill through slash commands (e.g., /analytics-tracking) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

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

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ 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.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.847 reviews
  • Noah Park· Dec 28, 2024

    Useful defaults in analytics-tracking — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Alexander Chawla· Dec 28, 2024

    Solid pick for teams standardizing on skills: analytics-tracking is focused, and the summary matches what you get after install.

  • Chaitanya Patil· Dec 12, 2024

    I recommend analytics-tracking for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Xiao Kapoor· Dec 12, 2024

    analytics-tracking is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Amelia Garcia· Nov 19, 2024

    I recommend analytics-tracking for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Alexander Abebe· Nov 15, 2024

    analytics-tracking is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Min Malhotra· Nov 7, 2024

    Keeps context tight: analytics-tracking is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Piyush G· Nov 3, 2024

    Useful defaults in analytics-tracking — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Naina Iyer· Nov 3, 2024

    Solid pick for teams standardizing on skills: analytics-tracking is focused, and the summary matches what you get after install.

  • Amelia Shah· Oct 26, 2024

    Registry listing for analytics-tracking matched our evaluation — installs cleanly and behaves as described in the markdown.

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