Skene is product analytics in your own Supabase that work with any dashboard you use. It instruments the events you are missing and runs on every pull request, reading your Supabase schema read-only to catch when a code change removes, renames, or breaks the writes that record events, so the data stays complete and the metrics built on it stay trustworthy.

Skene reads the repository and tracks every event your app writes into Supabase. When a pull request changes one of those files, Skene flags removed writes, renamed columns, and payloads your schema cannot store on the PR before the change merges.

Is Skene a coding agent?

No. Skene is not a coding agent and does not compete with Cursor, Claude Code, Codex, or Devin. It runs alongside them as an independent check that validates the event-writing code already in your repository.

What does Skene work with?

Skene reads the events your app writes to Supabase and checks them against your schema. It works alongside coding agents like Cursor, Claude Code, Codex, and Devin, and runs in CI as a GitHub Action.

Skene runs as a GitHub Action that posts a comment on every pull request, with a cloud validation API for programmatic runs and a one-time repository audit to baseline what you already have.

One-click product analytics.

In your own Supabase, working with any dashboard you use. Skene adds the tracking you're missing and keeps the rest from breaking on every pull request.

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The problem

You can't get today's data back tomorrow.

Early on, analytics is handled, for now. You ship features, your agent rewrites the code that records the events, and an insert quietly disappears with a refactor. Nothing errors. The table just stops filling.

Analytics is not retroactive. Months later you set pricing, brief the board, or chase a churn spike, and the number you reach for is wrong in a way you can't reconstruct. The decision goes out the door anyway.

Skene checks every pull request, in the same place you already review code, so the record is already there when the decision lands. Setup takes under ten minutes. Your data stays in your own Supabase.

Analytics live in your own Supabase.

Connect once. Skene adds the tracking you're missing, right into the database you already own.

Connect your repo and Supabase, read-only
Adds the events that matter and checks each one fits the tables in your database
Your data stays in your Supabase, never moved or copied
Checks each PR against its preview branch, via Supabase branching

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Starting journey analysis…

This may take a few minutes. Stay on this page to see live pipeline updates.

Analyzing Schema

Events from codebase

Generating Journey

Discovery

From sign up to account creation

SIGNAL	TYPE	FOUND AT	STATUS
Account Created	Supabase	public.accounts	Can be tracked (DB)
Signup Page Viewed	GitHub	app/admin/(auth)/login/page.tsx	Recommended
Signup Form Submitted	GitHub	app/admin/(auth)/login/page.tsx	Recommended
Auth User Created	Supabase	auth.users	Can be tracked (DB)
auth.users.insert	GitHub	–	Can be tracked (DB)
user creates an account record	GitHub	–	Can be tracked (DB)

refactor: consolidate checkout flow tracking

Open

feat/checkout-v2→main

skenebotcommented now

Analytics diff detected

Missing callcheckout_started: not found in new state

Renamed eventpurchase_complete → order_confirmed

Payload shape changecart_viewed: field "items" removed

Conditional no longer firesupsell_shown: condition block unreachable

Caught on review. Not on a dashboard that's been wrong for weeks.

Tracking that doesn't quietly break.

Every way a code change quietly drops an event, caught on the pull request that did it.

Tracking your code stopped recording, or renamed so it no longer lands
Data shaped wrong, so your database silently drops it
Tracking that used to fire but stopped, for some users or some flows
Flagged as a PR comment, not weeks later

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Works with any dashboard. Tells you what pays.

Skene feeds the dashboard you already use, and answers the questions that move revenue.

Point any dashboard or BI tool at your own Supabase
Or ask the questions that move revenue from inside your coding agent, over MCP. No new dashboard to build
Skene gives the answer, not another chart to babysit
Turnkey dollar-revenue viewRoadmap

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Analytics events

checkout_started

purchase_complete

cart_viewed

public·events

event_nametext

order_idint4

cart_itemsmissing

created_attimestamptz

Skene checking events against schema…

feat: add purchase_complete tracking

Open

feat/purchase-events→main

skenebotcommented now

Schema mismatch detected

purchase_complete→public.events

Type mismatchpayload.purchase_id · text → column is int4

Missing columnpayload.cart_items · column does not exist

From one setup to the paths that pay.

One setup adds the tracking you're missing and keeps it from breaking on every pull request. Then ask your coding agent for the paths, cohorts, and features that pay.

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1. ONE SETUP. SKENE ADDS THE TRACKING YOU'RE MISSING.

2. WHEN A CODE CHANGE BREAKS TRACKING, CAUGHT ON THE PR THAT DID IT.

3. THE PATHS AND COHORTS THAT PAY, FROM YOUR CODING AGENT.

Four ways to plug Skene in.

Ask questions from your coding agent (MCP server). Run it on every pull request (GitHub Action). Call it from your own scripts (Cloud API). Or start with a one-time check of your repo.

Same engine behind each.

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MCP server

Cursor · Claude Code

GitHub Action

Runs on every PR

Cloud API

Any script, any time

Repo audit

One-time · no commitment

MCP server

Skene runs before the agent commits. Catches analytics issues in the agent loop, not after the PR lands.

skene mcp --cursor

Separation of duties

The agent writes the tracking. It should not grade its own work.

An agent checking the tracking it just wrote is the conflict of interest the check exists to remove. Skene runs alongside Cursor, Claude Code, and Codex, not inside them. The gate sits outside the tool that made the change.

It is not a dashboard you babysit or a copy of your data. Your data stays in your database. Skene owns the gate, and the trusted record you query over MCP for what drives revenue.

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Open GitHub

See what your last 10 PRs quietly broke.

Start free, or install the open-source core. Your first repo audit runs in about as long as your CI does.

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Local MCP server
GitHub Action with PR comments
Cloud validation API
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GitHub Action with PR comments
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SIGNAL

TYPE

FOUND AT

STATUS

Account Created

Supabase

public.accounts

Can be tracked (DB)

Signup Page Viewed

GitHub

app/admin/(auth)/login/page.tsx

Recommended

Signup Form Submitted

GitHub

app/admin/(auth)/login/page.tsx

Recommended

Auth User Created

Supabase

auth.users

Can be tracked (DB)

auth.users.insert

GitHub

–

Can be tracked (DB)

user creates an account record

GitHub

–

Can be tracked (DB)

One-click product analytics.

You can't get today's data back tomorrow.

Analytics live in your own Supabase.

Tracking that doesn't quietly break.

Works with any dashboard. Tells you what pays.

From one setup to the paths that pay.

Four ways to plug Skene in.

The agent writes the tracking. It should not grade its own work.

Built in the open,
with our design partners.

See what your last 10 PRs quietly broke.

Pay for cloud validation runs.

One-click product analytics.

You can't get today's data back tomorrow.

Analytics live in your own Supabase.

Tracking that doesn't quietly break.

Works with any dashboard. Tells you what pays.

From one setup to the paths that pay.

Four ways to plug Skene in.

The agent writes the tracking. It should not grade its own work.

Built in the open,
with our design partners.

See what your last 10 PRs quietly broke.

Pay for cloud validation runs.

One-click product analytics.

You can't get today's data back tomorrow.

Analytics live in your own Supabase.

Tracking that doesn't quietly break.

Works with any dashboard. Tells you what pays.

From one setup to the paths that pay.

Four ways to plug Skene in.

The agent writes the tracking. It should not grade its own work.

Built in the open,with our design partners.

See what your last 10 PRs quietly broke.

Pay for cloud validation runs.

One-click product analytics.

You can't get today's data back tomorrow.

Analytics live in your own Supabase.

Tracking that doesn't quietly break.

Works with any dashboard. Tells you what pays.

From one setup to the paths that pay.

Four ways to plug Skene in.

The agent writes the tracking. It should not grade its own work.

Built in the open,with our design partners.

See what your last 10 PRs quietly broke.

Pay for cloud validation runs.

Built in the open,
with our design partners.

Built in the open,
with our design partners.