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Skene.Ai

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AI-generated onboarding and analytics for B2B SaaS teams

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What is Skene.Ai?

Skene ensures your analytics tracking stays accurate as your codebase evolves. It indexes every event write to your Supabase tables against your database schema, providing a baseline that catches breakage before it reaches production.

When a pull request changes code that handles event tracking, Skene runs automatically—either as an MCP server for your coding agent, a GitHub Action, or via API. It flags missing inserts, renamed columns, type mismatches, and conditional writes that no longer fire, posting the diff directly on the PR.

Skene also generates AI-powered user journey maps from your codebase, highlighting gaps in your instrumentation surface and recommending events to track key milestones like signup and account creation.

Unlike retroactive analytics, Skene's checks are read-only and non-invasive, running on the PR branch without writing to your database. This keeps your instrumentation surface clean and consistent, so you never lose critical data due to silent tracking failures.

How to use Skene.Ai

  1. 1

    Connect your Supabase project and code repository to Skene

  2. 2

    Skene automatically indexes all event writes and your database schema

  3. 3

    Install the MCP server for coding agents or add the GitHub Action to your CI

  4. 4

    When a PR changes event-tracking code, Skene runs and posts a diff comment

  5. 5

    Review flagged issues and fix tracking before merging to prevent data loss

Key features

Catches missing inserts, renamed columns, type mismatches, and unreachable conditional writes on every PR

Indexes every event write against your Supabase schema to ensure payload and column alignment

Runs as an MCP server, GitHub Action, cloud API, or one-time repo audit for flexible CI integration

Generates AI-powered user journey maps from your codebase, recommending missing analytics events

Use cases

  • Prevent silent analytics data loss caused by broken tracking code in pull requests
  • Validate that renamed or modified event payloads still match the target Supabase columns
  • Onboard new developers by maintaining a consistent instrumentation surface as the codebase grows
  • Discover hidden user journeys (e.g., sign-up to account creation) and add recommended tracking
  • Run periodic audits of your entire codebase to uncover existing instrumentation gaps

Best for

B2B SaaS teamsProduct teamsDeveloper-focused startups

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Frequently asked questions about Skene.Ai

Common questions to help you decide if Skene.Ai is right for you.

Yes, Skene offers a free trial. You can sign up without commitment and begin using it on your repositories immediately.

Skene runs as an MCP server that integrates directly with your agent. It checks analytics tracking after the agent writes code but before a PR is merged, catching issues in the loop.

Skene is currently built for Supabase. It reads your Supabase schema and event tables to validate all tracking writes against the actual database contract.

No, Skene is strictly read-only. It never writes to or alters your database. All checks happen on the pull request branch and do not affect production data.

Yes. Skene analyzes your codebase to discover user journeys (e.g., signup to account creation) and recommends adding missing analytics events so you can track the full funnel.

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