Skene

Skene is an AI-powered product-led growth (PLG) infrastructure platform that analyzes your codebase to automatically generate and manage onboarding flows, retention loops, and growth automation. Built for developers using AI coding assistants like Cursor, Claude Code, and Windsurf, Skene eliminates the need for traditional growth teams by reading your code and acting on user behavior insights in real-time.

• Codebase Analysis provides deep understanding of your product by analyzing APIs, features, user flows, and data models directly from your repository with read-only access, generating growth manifests automatically.

• Growth Loops Automation creates self-reinforcing cycles that turn successful onboarding experiences into new user acquisition, with automated systems that adjust and optimize without manual intervention.

• Real-time User Behavior Tracking monitors where users succeed and drop off, identifying patterns that correlate with retention and triggering appropriate actions automatically.

• IDE Integration works seamlessly with modern AI coding tools including Cursor, Windsurf, v0, and Bolt, allowing you to implement growth infrastructure through simple prompts.

• Skene Skills offers a GitHub-hosted skills repository that can be added to your AI coding assistant to analyze codebases and implement growth patterns.

• Framework-Specific Guides includes over 381 ready-to-use growth patterns for modern tech stacks including Next.js, Django, FastAPI, Astro, and integrations with Supabase, Firebase, Stripe, and more.

• Lifecycle Automation handles customer journeys from onboarding through activation and retention, automatically iterating on flows based on user behavior data.

• Open Core Model provides unlimited usage of the open-source core with self-hosting options, while managed hosting and extended features are available on paid plans.

To get started, connect your GitHub or GitLab repository with read-only access, and Skene automatically analyzes your codebase to generate PLG flows in under 60 seconds. You can also use the CLI tool with uvx skene-growth analyze or paste prompts directly into your AI coding assistant.