analytics
When the user wants to set up, improve, or audit analytics tracking and measurement.
Skill by coreyhaines31
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/coreyhaines31-analytics
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: backend, testing, data, security
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/analytics
What's inside
- Skill 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," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "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 getting conversions into ad platforms (pixels, conversion tags, CAPI, server-side) and verifying they arrived, see conversion-tracking. 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. Rate metrics divide matching closed windows — never full-period spend by partial-period results.
- License
- MIT
- Metadata
- version: 2.2.1
- Instructions
- 363 lines in SKILL.md · view on GitHub
Files (5)
- SKILL.md
- evals.json · evals/
- event-library.md · references/
- ga4-implementation.md · references/
- gtm-implementation.md · references/
SKILL.md (first lines)
# 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 ### 5. Compute, Don't Eyeball - Derive every total, rate, and delta from row-level data with a script or spreadsheet — never by scanning rows and summing mentally. One silently dropped row corrupts every figure downstream of it. - Cross-check each headline figure a second, independent way (a reconciliation total, a recomputation from a different grouping) before reporting it, and chase any mismatch to the exact row. - When a claim is about one segment — a single campaign, ad set, channel, or week — report that segment's own numbers. Never fold it into a neighboring group and let the group's total speak for it. ### 6. Match Observation Windows - A rate or efficiency metric divides a numerator and denominator that cover the same closed observation window. Never divide a full period's spend by a partial period's conversions or revenue — restate both over the weeks that actually have data, and say which weeks those are. - Cohort rates use only cohorts whose observation window has ended. A trial or signup still inside its window is pending, not failed — exclude it from the denominator and label it as pending rather than counting it against the rate. ### 7. Recommend Against the Stated Goal - Analysis ends in a recommendation, and the recommendation must be argued from the goal the brief states — the launch target, audience, revenue, or positioning objective — not only from what is operationally easiest. Name which stated goal each option serves and what it trades away. --- ## 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](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 - Keep provider-defined names when using automatic or recommended events (e.g. GA4 `click`, `view_search_results`, `purchase`). Map internal business names explicitly; naming a custom event does not make the provider collect it automatically. --- ## Essential Events ### Marketing Site | Event | Properties | |-------|------------| | cta_clicked | button_text, location |
From coreyhaines31/marketingskills, MIT.
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Signals
- Stars
- 56,355
- Forks
- 8,329
- Open issues
- 17
- Last commit (this folder)
- Oct 19, 2026 (9 days ago)
- Last release
- Oct 19, 2026 (9 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 2.2.1
- License
- MIT
- Repository
- github.com/coreyhaines31/marketingskills
- Website
- marketing-skills.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
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When the user wants to add, fix, or optimize schema markup and structured data on their site.
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Cite this page
analytics skill. Agent Mart. https://agentmart.dev/skills/coreyhaines31-analytics (last updated 2026-10-24)