SkillAgentSearch skills...

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 m…

Install / Use

npx skills add coreyhaines31/marketingskills --skill analytics

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

99/100

Supported Platforms

Universal

Tags

Our assessment of analytics

analytics scores 99/100 on our quality scale, 6th of 142 Data & Analytics skills we index (top 5%).

Its SKILL.md is 8.4 KB long, well organised into 45 sections with 5 code examples: a thorough specification that gives an agent plenty to work with.

With 51,376 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 20 days ago, so analytics is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

analytics compared with similar skills

All 4 of these similar skills score higher than analytics; compare them before choosing.

SkillScoreStarsUpdatedFormat
analytics (this skill)by coreyhaines319951.4k20d agoSKILL.md
algorithmic-artby anthropics100177.9k2d agoSKILL.md
pptxby anthropics100177.9k2d agoSKILL.md
designby nextlevelbuilder100130.2k3d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100130.2k3d agoSKILL.md

Frequently asked questions

How do I install analytics?
Run npx skills add coreyhaines31/marketingskills --skill analytics. The install tabs above show the steps for each supported agent.
Which AI agents does analytics work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is analytics safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is analytics still maintained?
The repository was last updated 20 days ago, so analytics is actively maintained.

name: analytics description: 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," "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 choosing attribution models, comparing multi-touch/MMM/incrementality, or reconciling conflicting numbers across tools, see attribution. For A/B test measurement, see ab-testing. metadata: version: 2.0.1

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 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

| Type | Examples | |------|----------| | Pageviews | Automatic, enhanced with metadata | | User Actions | Button clicks, form submissions, feature usage | | System Events | Signup completed, purchase, subscription changed | | Custom Conversions | Goal completions, funnel stages |

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_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

Marketing Site

| Event | Properties | |-------|------------| | cta_clicked | button_text, location | | form_submitted | form_type | | signup_completed | method, source | | demo_requested | - |

Product/App

| Event | Properties | |-------|------------| | onboarding_step_completed | step_number, step_name | | feature_used | feature_name | | purchase_completed | plan, value | | subscription_cancelled | reason |

For full event library by business type: See references/event-library.md


Event Properties

Standard Properties

| Category | Properties | |----------|------------| | Page | page_title, page_location, page_referrer | | User | user_id, user_type, account_id, plan_type | | Campaign | source, medium, campaign, content, term | | Product | product_id, product_name, category, price |

Best Practices

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

GA4 Implementation

Quick Setup

  1. Create GA4 property and data stream
  2. Install gtag.js or GTM
  3. Enable enhanced measurement
  4. Configure custom events
  5. 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

| Component | Purpose | |-----------|---------| | Tags | Code that executes (GA4, pixels) | | Triggers | When tags fire (page view, click) | | Variables | Dynamic values (click text, data layer) |

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

| Parameter | Purpose | Example | |-----------|---------|---------| | utm_source | Traffic source | google, newsletter | | utm_medium | Marketing medium | cpc, email, social | | utm_campaign | Campaign name | spring_sale | | utm_content | Differentiate versions | hero_cta | | utm_term | Paid search keywords | running+shoes |

Naming Conventions

  • Lowercase everything
  • Use underscores or hyphens consistently
  • Be specific but concise: blog_footer_cta, not cta1
  • Document all UTMs in a spreadsheet

Debugging and Validation

Testing Tools

| Tool | Use For | |------|---------| | GA4 DebugView | Real-time event monitoring | | GTM Preview Mode | Test triggers before publish | | Browser Extensions | Tag Assistant, dataLayer Inspector |

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

| Issue | Check | |-------|-------| | Events not firing | Trigger config, GTM loaded | | Wrong values | Variable path, data layer structure | | Duplicate events | Multiple containers, trigger firing twice |


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

Output Format

Tracking Plan Document

# [Site/Product] Tracking Plan

## Overview
- Tools: GA4, GTM
- Last updated: [Date]

## Events

| Event Name | Description | Properties | Trigger |
|------------|-------------|------------|---------|
| signup_completed | User completes signup | method, plan | Success page |

## Custom Dimensions

| Name | Scope | Parameter |
|------|-------|-----------|
| user_type | User | user_type |

## Conversions

| Conversion | Event | Counting |
|------------|-------|----------|
| Signup | signup_completed | Once per session |

Task-Specific Questions

  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?

Tool Integrations

For implementation, see the tools registry. Key analytics tools:

| Tool | Best For | MCP | Guide | |------|----------|:---:|-------| | GA4 | Web analytics, Google ecosystem | ✓ | ga4.md | | Mixpanel | Product analytics, event tracking | - | mixpanel.md | | Amplitude | Product analytics, cohort analysis | - | amplitude.md | | PostHog | Open-source analytics, session replay | - | posthog.md | | Segment | Customer data platform, routing | - | segment.md |


Related Skills

  • ab-testing: For experiment tracking
  • attribution: For attribution models, multi-touch/MMM/incrementality, and reconciling conflicting numbers across tools (once tracking is live)
  • seo-audit: For organic traffic analysis
  • cro: For conversion optimization (uses this data)
  • revops: For pipeline metrics, CRM tracking, and revenue attribution

Related Skills

View on GitHub
GitHub Stars51.4k
CategoryData
Updated20d ago
Forks7.8k

Languages

JavaScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions