Skene

About Skene

Skene is an AI-powered, fully automated Product-Led Growth (PLG) infrastructure designed to function as a self-learning growth engine. It fundamentally reimagines growth tooling by integrating directly with a product's codebase, eliminating the need for external scripts, siloed dashboards, and manual optimization. The platform operates by analyzing a user's code to understand the product's structure and user flows. It then automatically observes user behavior to detect friction points and drop-offs in key journeys like onboarding and activation. Using this intelligence, Skene creates, A/B tests, and deploys improved versions of these flows, continuously optimizing for metrics like activation and retention without human intervention. Its core value proposition is turning growth into a programmable, owned layer of infrastructure rather than a collection of third-party services. Primarily built for indie developers, early-stage startups, and established PLG companies, Skene serves as a "growth team in a box," enabling teams to scale their product's growth loops efficiently without adding headcount or sacrificing technical control and performance.

Features of Skene

Codebase-Derived Signal Analysis

Skene's foundational feature is its ability to perform deep, static analysis of your application's codebase. By connecting to your GitHub or GitLab repository with read-only access, it automatically scans the repository structure, identifies key user flows, and detects potential growth signals and friction points directly from the source code. This analysis happens in a secure, isolated environment and requires no initial code changes, generating a comprehensive "growth manifest" that serves as the context layer for all subsequent automation.

Automated Flow Optimization & Testing

Moving beyond mere analytics, Skene actively intervenes to improve the user journey. The platform uses insights from code analysis and real-time user behavior to automatically generate hypotheses for improved user flows. It then creates variations of these flows (such as onboarding steps or activation prompts) and runs controlled A/B tests. The system measures the impact on key metrics and autonomously deploys the winning configuration, creating a closed-loop system where the product's growth mechanisms improve themselves over time.

Prompt-Driven Growth Implementation

Skene integrates growth work directly into the developer's existing workflow, particularly within the IDE. Through skills and agents, developers can initiate growth analysis, audits, and implementations via natural language prompts. For example, a developer can run a terminal command like uvx skene-growth analyze . or use a prompt in an AI-powered editor like Cursor to audit the codebase and generate actionable growth tasks, making PLG a first-class concern in the development process.

Owned & Version-Controlled Infrastructure

Unlike traditional third-party tools that inject external scripts, Skene is designed as infrastructure that teams own and control. The growth logic and automation it manages are treated as code, which can be versioned, reviewed, and prompted like any other part of the application stack. This eliminates the "black box" problem, prevents performance degradation from external snippets, and ensures that growth assets remain in sync with the product through every deploy.

Use Cases of Skene

Autonomous Onboarding for Indie Developers

Solo founders and indie developers often lack the time to manually build, instrument, and optimize user onboarding. Skene automates this entire process. By analyzing the codebase, it automatically generates and manages tailored onboarding flows, identifies where users get stuck, and iteratively improves the journey. This allows a single developer to offload growth work and ensure their product can guide users to value without constant manual oversight.

PLG Activation Tightening for Startups

Early-stage startups aiming for product-led growth need to maximize user activation but may not have a dedicated growth team. Skene acts as that team. It systematically identifies drop-off points in the activation funnel—the critical steps where users must experience core value—and runs automated experiments to smooth the path. This helps startups improve conversion to activated users, expand lifetime value (LTV), and scale efficiently before hiring growth specialists.

Lifecycle Automation for Customer Success

Beyond initial onboarding, Skene manages ongoing user engagement and retention. The platform can automate lifecycle communications, feature adoption nudges, and re-engagement campaigns based on user behavior patterns detected in the product. This enables teams to build sophisticated retention loops and proactive customer success interventions directly into the product experience, all managed from a single, code-aware system.

Legacy Stack Replacement for Engineering Teams

Engineering teams frustrated with the brittleness and overhead of traditional marketing tech stacks can use Skene as a unified replacement. It consolidates the functions of analytics dashboards, tour builders, and experimentation platforms into one owned infrastructure layer. This eliminates the need to paste external snippets, prevents broken UI overlays after deploys, and gives developers full control and visibility into the growth tooling.

Frequently Asked Questions

What is PLG software?

Product-Led Growth (PLG) software is a category of tools designed to help users discover and realize value within a product autonomously, without requiring direct intervention from sales or customer success teams. It focuses on automating the user journey, using the product itself as the primary vehicle to guide users through activation, drive feature adoption, and strengthen long-term retention.

How is Skene different from traditional customer experience software?

Traditional customer experience tools, like tour builders or analytics platforms, are typically overlay-based and require significant manual configuration, constant maintenance, and rely on brittle CSS selectors that break with every code deployment. Skene is fundamentally different; it reads your actual codebase to understand your product's structure and automatically generates and updates all PLG flows. When you push new code, Skene's understanding and automations update accordingly, eliminating manual upkeep.

How long does it take to set up?

Setup is designed to be exceptionally fast, typically taking less than 60 seconds. The primary step is connecting your GitHub or GitLab repository, granting Skene read-only access. The platform then automatically analyzes your codebase to generate initial PLG flows and insights. No initial code changes, API modifications, or snippet injections are required to begin.

Is my code secure?

Yes, Skene is built with a security-first approach. The platform only requires read-only access to your repository, meaning it cannot push changes or alter your code. All analysis is performed within a secure, isolated environment. Your source code and the derived growth manifests are treated as sensitive data, ensuring your intellectual property remains protected.