MCP server
In your coding agent
Your agent calls it before it opens the pull request.
POST /api/mcpSkene finds gaps in your product tracking, catches changes before they corrupt your dashboards, and recommends the next journey improvements.
Start freeFree to start, no card. Ask how Skene works or Read more below ↓
A release renames an event, drops a field, or changes when tracking fires. Nothing turns red.
Marketing sees a conversion dip. Customer Success sees an adoption gap. Engineering sees a green release. Nobody can tell whether customer behavior changed, or the collection did.
The problem shows up in the same three sentences: our onboarding changed, we're not sure all the funnel steps are still tracked, and analytics and internal reporting don't match.
By the time the gap is found, the lost data cannot be recreated. Decisions, campaigns, and automations have already moved on.
The funnel changed because the tracking did.
invited_teammate was renamed in a release on 12 Aug. The step still fires; the funnel reads the old name.
GTM defines the journey. Skene turns it into a collection plan, checks every release against it, and hands Engineering reviewable findings.
Evidence
Journey step
Flows
How users actually move, captured by one script tag.
Less back-and-forth. Fewer tracking tickets. One shared definition of reliable product data.
Skene scans the product's collection layer and maps your broken, incomplete, and missing signals.
| Event | Change | Found at | Status |
|---|---|---|---|
| signup_completed | removed | handler.ts L88 | missing |
| account_created | renamed | handler.ts L88 | unmapped |
| plan_tier | altered payload | billing.ts L142 | field dropped |
| checkout_started | moved | cart.ts L31 | fires earlier |
| trial_ended | conditional firing | trial.ts L77 | wider audience |
| workspace_opened | unchanged | workspace.ts L12 | ok |
Skene checks each release against the collection plan and flags the break before the chart goes flat.
company_profile_saved missing at components/onboarding/CompanyProfileStep.tsx:89/skene fix only restores tracking calls this PR removed; it cannot add new events.Once the data is trustworthy, Skene surfaces the next signals and automation opportunities for Growth and Customer Success.
All of it runs in Skene Cloud: an editable journey canvas, an events table counting tracking gaps, Flows showing how users move through the product, and the Evaluator.
| Evaluation | Status check | Metric | Confirmed |
|---|---|---|---|
| Activation: first order within seven days of signup | verifying | First-week first-order activation rate | 0 / 10 |
| Flag customers that have gone quiet for thirty days | verifying | Quiet customers resuming orders within thirty days | 0 / 13 |
| Recover an abandoned checkout by email | verifying | Abandoned checkout recovery rate within seven days | 0 / 15 |
A free snapshot first. Continuous protection and improvement when the product data becomes business-critical.
In your coding agent
Your agent calls it before it opens the pull request.
POST /api/mcpOn your pull requests
Reviews every PR on the repository you link, and the Action it carries fails the build in CI.
In the cloud
The analysis that keeps a record between runs.
On your machine
The MIT-licensed tool. No Skene account.
skene analyzeSkene keeps the path from product behavior to GTM decision visible and verified.
Separate a real behavior change from a collection break before changing onboarding.
Find the missing signal and the right moment to automate.
Trust the journey signals behind intervention and expansion decisions.
Skene doesn't replace your analytics. It protects the collection layer feeding PostHog, Mixpanel and the rest. It doesn't store, model or visualize your event data.
Local and CI surfaces run where your engineering team already works. Cloud validation is opt-in.
Skene names the signal, the location, and the failure. The gate fails a pull request when a tracking event the collection plan requires is missing, or the table behind one is not there. A payload that lost a property is reported and does not fail the build.
A local Skene OSS run on the command line, release checks, agent feedback, or a cloud API for your own workflows.
Share the metric, journey, or release that makes your team question the data. Teemu's Stand helps you frame the problem and the right starting plan.
Run the first analysis free. Add continuous monitoring yourself, or take Enterprise, where expert curation is part of the product tier and not a consultancy engagement.
Product data collection analysis
Sign in, connect a source, and see the broken, incomplete, and missing signals in your current product journey. No card.
Continuous monitoring
Protect product data on every release and keep finding the next collection and journey improvements.
Adapted to your systems
Bring Skene into a complex stack with expert-curated monitoring and improvement guidance.
Run a free analysis of the product data your GTM team relies on, before another release turns a gap into lost history.
Meetups, coworking days and the occasional hackathon. If you want to argue about tracking in person, these are the places to do it.
17 June 2026
Recurring, most recently 31 March 2026
27 July 2026