Guides analytics implementation: GA4 setup, event tracking, conversions, and data quality. Applies to web and app tracking across marketing channels.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionanalytics-trackingExecute the skills CLI command in your project's root directory to begin installation:
Fetches analytics-tracking from kostja94/marketing-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate analytics-tracking. Access via /analytics-tracking in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
309
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
309
stars
Guides analytics implementation: GA4 setup, event tracking, conversions, and data quality. Applies to web and app tracking across marketing channels.
When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
user_id when user is identified (e.g., login); send to GA4Track CTA clicks on key articles to measure content ROI:
| Action | Purpose |
|---|---|
| Event per CTA | e.g., cta_click with content_url, content_type |
| Conversion | Mark as conversion in GA4 for attribution |
| Use | Compare high vs low performers; optimize CTA placement and copy |
See seo-monitoring for article database and benchmark context.
| Component | Purpose |
|---|---|
| Data warehouse | Centralized data; BI reporting |
| Event tracking | User behavior; funnel mapping |
| Attribution | Ad pixels; attribution model; impression-to-sale tracking |
Optimization flow: Clean UTM + conversion events → attribution reports → optimize channel mix.
G-XXXXXXXXXX)Enable in Admin > Data Streams > Enhanced Measurement for automatic tracking of:
| Type | Description |
|---|---|
| Automatically collected | page_view, first_visit, session_start |
| Enhanced measurement | scroll, click, file_download, etc. |
| Recommended | purchase, sign_up, search, etc. |
| Custom | Business-specific actions |
snake_case, lowercasedownload_pdf, submit_form, video_playpricing_page_scroll vs generic scrollgtag('event', '<event_name>', {
<parameter_name>: <value>,
// e.g. value: 99.99, currency: 'USD'
});
Place below the Google tag snippet. Events fire on page load or user action (e.g., button click).
| Event | Use | Key Parameters |
|---|---|---|
purchase |
E-commerce | value, currency, items |
sign_up |
Registration | method |
login |
Login | method |
search |
Site search | search_term |
view_item |
Product view | items |
add_to_cart |
Add to cart | items |
content_type, item_id)Attribution models determine how conversion credit is assigned across touchpoints. Use attribution data to optimize ads and growth channels.
| Model | Use |
|---|---|
| Data-driven (GA4 default) | ML assigns credit by actual contribution; best for multi-touch journeys |
| Last-click | 100% to final touchpoint; simple but undervalues awareness/consideration |
Optimization flow: Clean UTM (source, medium, campaign) + conversion events → GA4 attribution reports → compare channels by attributed conversions → reallocate budget to ads/channels that drive results. Inconsistent UTM fragments data; multi-touch attribution requires reliable touchpoint data.
Reference: UTM.io – UTMs for Marketing Attribution, GA4 – Get started with attribution
| Tool | Use |
|---|---|
| Realtime | See events as they fire |
| DebugView | Detailed event/parameter inspection; requires debug mode |
| GA4 Debug mode | gtag('config', 'G-XXX', { 'debug_mode': true }); or GTM preview |
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
kostja94/marketing-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Keeps context tight: analytics-tracking is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for analytics-tracking matched our evaluation — installs cleanly and behaves as described in the markdown.
analytics-tracking reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: analytics-tracking is the kind of skill you can hand to a new teammate without a long onboarding doc.
analytics-tracking is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend analytics-tracking for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: analytics-tracking is focused, and the summary matches what you get after install.
Registry listing for analytics-tracking matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: analytics-tracking is the kind of skill you can hand to a new teammate without a long onboarding doc.
analytics-tracking is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
showing 1-10 of 61