JasonColapietro/suede-creator-skills

suede-analytics

Know whether any of it worked: tracking plans, event and conversion instrumentation, UTM discipline, attribution, and auditing what is actually firing. Use when the user is setting up or fixing analytics, conversion tracking, or attribution, or cannot tell whether a change moved anything. 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 d

91Collecting
See how to use itView GitHub source
npx skills add https://github.com/JasonColapietro/suede-creator-skills --skill "skills/suede-analytics"

Quick start

Start using it in three steps

Install it or open the source, trigger it with a clear task, then follow the source workflow.

1

Install the Skill

npx skills add https://github.com/JasonColapietro/suede-creator-skills --skill "skills/suede-analytics"
2

Describe the task

Use suede-analytics to help me with: [describe your task]. Before you begin, tell me what input you need, the steps you will follow, and the expected output.

3

Follow the workflow

No structured workflow was detected; follow the original SKILL.md below.

Continue to the workflow

Direct answers

Answers to review before you install

What is suede-analytics?

Know whether any of it worked: tracking plans, event and conversion instrumentation, UTM discipline, attribution, and auditing what is actually firing. 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,' 'ho…

Who should use suede-analytics?

It is relevant to workflows involving Data analysis, Testing, Engineering, Marketing.

How do you install suede-analytics?

SkillSignal detected this source-specific command: npx skills add https://github.com/JasonColapietro/suede-creator-skills --skill "skills/suede-analytics". Inspect the repository and command before running it.

Which Agent platforms does it support?

The upstream source does not declare a dedicated Agent platform.

What permissions or risks should you review?

No obvious permission action was detected by the static rules. This is not proof that the Skill is safe.

What are the current evidence limits?

This page combines upstream documentation with deterministic repository, quality, and static-risk signals. It is not described as a manual test or security review.

SkillSignal brief

Decide whether it fits your work first

Know whether any of it worked: tracking plans, event and conversion instrumentation, UTM discipline, attribution, and auditing what is actually firing. 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,' 'ho…

Useful in these contexts

Not yet included in a workflow collection

Core capabilities

Data analysisTestingEngineeringMarketing

Distilled from the source

Understand this Skill in one minute

About 4 min · 16 sections

When it is worth using

  1. Use when the user is setting up or fixing analytics, conversion tracking, or attribution, or cannot tell whether a change moved anything.

Examples and typical usage

  1. Tracking Plan Document

Repository stars
165
Repository forks
8
Quality
91/100
Source repository last pushed

Quality breakdown

Based on traceable docs and repository signals; stars are not treated as quality.

91/100
Documentation28/30
Specificity23/25
Maintenance20/20
Trust signals20/25

Compare before choosing

Related Agent Skills and source variants

These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.

analytics by coreyhaines31

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 m

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When the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model, or reconcile conflicting numbers across tools. Also use when the user mentions "attribution," "attribution model," "first-touch vs last-touch," "multi-touch," "which channel drives revenue," "what's my real CAC," "my dashboards disagree," "Google/Meta says X but GA says Y," "media mix model," "MMM," "incrementality," "geo lift," "holdout test," "how did you hear ab

ad-campaign-analyzer by github

Use this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like "analyze my ad campaigns", "where am I wasting ad spend", "reallocate my ad budget", "which ads are actually working", or "ROAS analysis". Do not trigger for campaign planning or creative generation without performance data.

arize-dataset by github

Creates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data, evaluation examples, or mentions create dataset, list datasets, export dataset, append examples, dataset version, golden dataset, or test set.

arize-experiment by github

Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use when the user mentions create experiment, run experiment, compare models, model performance, evaluate AI, experiment results, benchmark, A/B test models, or measure accuracy.

View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 4 min

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

TypeExamples
PageviewsAutomatic, enhanced with metadata
User ActionsButton clicks, form submissions, feature usage
System EventsSignup completed, purchase, subscription changed
Custom ConversionsGoal 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

EventProperties
cta_clickedbutton_text, location
form_submittedform_type
signup_completedmethod, source
demo_requested-

Product/App

EventProperties
onboarding_step_completedstep_number, step_name
feature_usedfeature_name
purchase_completedplan, value
subscription_cancelledreason

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


Event Properties

Standard Properties

CategoryProperties
Pagepage_title, page_location, page_referrer
Useruser_id, user_type, account_id, plan_type
Campaignsource, medium, campaign, content, term
Productproduct_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

ComponentPurpose
TagsCode that executes (GA4, pixels)
TriggersWhen tags fire (page view, click)
VariablesDynamic 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

ParameterPurposeExample
utm_sourceTraffic sourcegoogle, newsletter
utm_mediumMarketing mediumcpc, email, social
utm_campaignCampaign namespring_sale
utm_contentDifferentiate versionshero_cta
utm_termPaid search keywordsrunning+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

ToolUse For
GA4 DebugViewReal-time event monitoring
GTM Preview ModeTest triggers before publish
Browser ExtensionsTag 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

IssueCheck
Events not firingTrigger config, GTM loaded
Wrong valuesVariable path, data layer structure
Duplicate eventsMultiple 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:

ToolBest ForMCPGuide
GA4Web analytics, Google ecosystemga4.md
MixpanelProduct analytics, event tracking-mixpanel.md
AmplitudeProduct analytics, cohort analysis-amplitude.md
PostHogOpen-source analytics, session replay-posthog.md
SegmentCustomer data platform, routing-segment.md

Related Skills

  • ab-testing: For experiment tracking
  • seo-audit: For organic traffic analysis
  • cro: For conversion optimization (uses this data)
  • revops: For pipeline metrics, CRM tracking, and revenue attribution
Skill path
skills/suede-analytics/SKILL.md
Commit SHA
f78965b9f994
Repository license
MIT
Data collected