Data & Analytics Skill
Airflow DAG Patterns
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and…
$15
Runtime Datalayer Inspect
Playwright MCP kullanarak canli web sayfasinda GA4 dataLayer event'lerinin runtime fire edip…
Runtime DataLayer Inspect uses Playwright browser automation to prove whether your GA4 and GTM events actually fire on a live page, not just whether the code looks correct. It takes a clean dataLayer snapshot, simulates a real user action (click, form submit, scroll), diffs the result, and reports exactly which events fired and which silently failed. It turns the manual 'F12 → Console → window.dataLayer' ritual into a repeatable, programmatic check you can trust before sign-off.
$15 one-time
Add to a kit → Prices include 20% VAT. · Forged on real agency work · one-time, no lock-in
- Type Skill
- Category Data & Analytics
- Delivery Email · instant
- License One-time
Inside the run · no black box
See the actual work before you buy it.
Code review can say an event should fire. This skill opens the live page, clicks the buttons, and diffs the dataLayer snapshot by snapshot until every tracking event has a verified pass or fail.
- Navigate to the live URL with Playwright and wait for network idle plus a 2-second margin, so initial events like page_view are not missed in the baseline.
- Take a baseline snapshot of window.dataLayer as a deep clone (JSON.parse over stringify); a live array reference would silently mutate under later clicks and corrupt the comparison.
- Simulate one user action per cycle: click the phone link, then the WhatsApp button, then the form submit. Every click is an isolated test with its own diff cycle, never stacked in one run.
- After each click, wait, take a second snapshot and diff it against the baseline, filtering out GTM internals (gtm.js, gtm.dom, gtm.load) so only real user events remain.
- Match the diff against the expected event list (phone_click, whatsapp_click, form_submit, booking_click and so on) and mark each one as fired or not fired, including its parameters.
- Close the browser session and report a per-event pass/fail line under a [VERIFIED] tag, with fired and missing events listed separately so the fix target is obvious.
One power source. 6 lines out.
runtime-datalayer-inspect · core
core active · 6 lines
- ✓ validate newly deployed
Validate newly deployed GA4 events (phone_click, form_submit, purchase) on a live URL
- ✓ confirm gtm tags fire af…
Confirm GTM tags fire after a container publish
- ✓ verify analytics events
Verify analytics events on A/B test variants
- ✓ regression-check that pr…
Regression-check that previously working events still fire after a release
- ✓ catch broken conversion
Catch broken conversion tracking before it corrupts ROAS math
- ✓ replace manual browser c…
Replace manual browser console inspection during QA
Yours to keep.
Drag time forward. Watch what stays.
Forever
That's what owning means.
The rented stack
ai writing tool: subscription
expired · access lostanalytics suite: subscription
expired · access lostdesign platform: subscription
expired · access lost(nothing left)
Your forge
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Stop trusting code review alone: get runtime proof that each event fires
license: perpetual -
Protect ad spend by catching conversion-tracking breaks before they skew bidding
license: perpetual -
Ship analytics changes with a clear pass/fail report instead of guesswork
license: perpetual -
Eliminate the manual, error-prone console-inspection step entirely
license: perpetual
subscriptions expire · deeds don't
Everything in the box.
Pick a piece up. Watch it work.
Baseline-then-action diff workflow with deep-cloned dataLayer snapshots
6 parts · one working system · ships instantly by email
This wasn't forged for everyone.
- Not for you if you'd rather rent a tool than own one.
- Not for you if you want someone else to run your stack.
- Not for you if you're happy guessing.
For analytics engineers, QA reviewers, and growth teams who need to verify that GA4/GTM events truly fire on production before reporting conversions.
then this was forged for you.Works with
Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
- Claude Native format
- ChatGPT Adapts via open standards
- Gemini Adapts via open standards
- Cursor Adapts via open standards
- Copilot Adapts via open standards
Catch what's on your mind.
the air is clear. nothing between you and the forge.
catch a spark: the forge will answer
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Our site is an SPA with consent mode, will the checks still hold up?
Yes, the edge-case coverage exists precisely for SPA routing, consent mode, and iframe events. Per-event isolation: one click, one snapshot, one expected event, also keeps results from bleeding into each other on dynamic pages.
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Can't I just open DevTools and look at window.dataLayer myself?
That is exactly the ritual it replaces: a clean baseline snapshot, a simulated user action, then a diff, with GTM internal noise like gtm.js, gtm.dom, and gtm.load filtered out automatically. Instead of a one-off eyeball check, you get a repeatable pass/fail report you can run on every release.
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Does it confirm the data actually landed in GA4 reports?
No. It proves the event fired into the dataLayer on the page; how GA4 processes it downstream: filters, consent state, property settings, is invisible from the browser side. The reporting end still needs a check inside GA4 itself.
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How is it delivered?
By email right after purchase: ready to run, downloaded instantly, no setup wait.
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One-time or subscription?
A one-time purchase; no subscription or hidden fees. VAT (20%) is included.
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Can I get a refund?
As a digital product, it can’t be refunded once downloaded. That’s why we show exactly what’s inside and who it’s for, right here.