analytics

analytics is a skill for Claude Code from coreyhaines31/marketingskills. It costs 152 tokens per session (1,959 once invoked), scanned A, original, MIT.

A guide for setting up, improving, or reviewing analytics tracking, including Google Analytics 4 and Google Tag Manager. It connects tracked actions with the decisions you need to make.

In plain words
What is it for?
Use it to create tracking plans, define events and conversions, work with UTM campaign tags, and measure marketing or product activity.
Why use it?
It helps avoid collecting irrelevant data or naming events inconsistently. It also clarifies what should be measured and whether privacy or compliance requirements affect the setup.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the marketing-skills plugin — 50 skills shipped together

Good fit Use it to create tracking plans, define events and conversions, work with UTM campaign tags, and measure marketing or product activity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/coreyhaines31/marketingskills/analytics
About the project

Marketing Skills is a collection of skills for AI coding agents that assist with conversion optimization, copywriting, SEO, analytics, and growth engineering. Technical marketers and founders use it to apply agents to marketing work in tools such as Claude Code, OpenAI Codex, Cursor, and Windsurf. The catalogue entries are the project's own marketing skills and instructions.

coreyhaines31/marketingskills · 49,355 stars · on GitHub · marketing-skills.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add coreyhaines31/marketingskills --skill analytics
Clone the repo
git clone --depth 1 https://github.com/coreyhaines31/marketingskills

Made for: Claude Code.

Or install marketing-skills, the plugin that ships this one along with the rest of its 50 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analytics

README.md
[![agentmods](https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/analytics/github.svg)](https://agentmods.dev/skills/coreyhaines31/marketingskills/analytics)
Your own site
<a href="https://agentmods.dev/skills/coreyhaines31/marketingskills/analytics"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/analytics/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analytics

Your own site · 80×15
<a href="https://agentmods.dev/skills/coreyhaines31/marketingskills/analytics"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/analytics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,959 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 14 May 2026
  • Snyk pass 14 May 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00152 $0.01959
Opus 5 $0.00076 $0.00979
Sonnet 5 $0.00030 $0.00392
Haiku 4.5 $0.00015 $0.00196

Measured 11d ago against content hash 3eda97d96b23, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

analytics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

skills/analytics/SKILL.md · 311 lines

How it starts

The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Read the full file on GitHub · 311 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 311 lines · 152 tokens per session scan A 3eda97d96b23

Subscribe to this mod's changes

analytics is a skill published in the GitHub repository coreyhaines31/marketingskills (49,355 stars, last pushed 5d ago), licensed MIT. It adds 152 tokens to every session and 1,959 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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