Skene

About Skene

Skene represents a fundamental paradigm shift in how software products achieve growth. It is an AI-powered, fully automated Product-Led Growth (PLG) iteration engine designed to function as intrinsic infrastructure rather than an external, bolted-on service. At its core, Skene connects directly to your codebase and IDE, analyzing your application's structure and user interaction signals to autonomously detect friction, optimize user flows, and deploy improvements. Its primary value proposition is replacing manual growth work, fragmented analytics dashboards, and brittle third-party scripts with a self-learning system that treats growth as code you own and version. Built for indie developers, early-stage startups, and established PLG companies, Skene serves as a "growth team in a box." It handles the continuous optimization of critical funnels—onboarding, activation, and retention—freeing teams from constant manual A/B testing and meeting overhead. By deriving signals directly from your code, it creates a context layer for your AI and ensures your growth logic evolves seamlessly with every deploy, making performance-breaking external snippets and data-siloed black boxes a thing of the past.

Features of Skene

Codebase-Powered Signal Detection

Skene's foundational feature is its deep integration with your development environment. Instead of relying on superficial clickstream data, it performs a static and dynamic analysis of your repository to identify genuine growth signals and friction points. It scans your code structure, framework, and user flow logic to automatically detect onboarding drop-off, activation opportunities, and retention loops. This provides a far more accurate and maintainable understanding of user behavior that updates automatically with every code push, eliminating the manual tagging and maintenance required by traditional tools.

Autonomous Flow Optimization & Testing

The platform moves beyond simple analytics into autonomous action. After detecting areas for improvement, Skene automatically generates, tests, and measures the impact of optimized versions of user flows. It creates improved onboarding sequences, smoother activation paths, and strengthened retention loops, running experiments to identify the highest-performing configuration. This self-learning engine continuously deploys winning variations, ensuring your product's growth mechanics improve themselves over time without requiring weekly growth meetings or manual intervention from developers.

Prompt-Driven Growth Infrastructure

Skene introduces a revolutionary interface for growth work: the prompt. Developers can initiate complex growth audits, analyses, and implementations through natural language commands directly in their terminal or IDE. By adding the skene-growth skill, you can run commands like uvx skene-growth analyze . to generate a detailed growth manifest. This makes growth a programmable, promptable layer of your product infrastructure, fully accessible to your AI agents and integrated into your existing development workflow.

Owned & Versioned Growth Logic

A core tenet of Skene is ownership. Unlike traditional third-party tools that inject external scripts, Skene's analysis and generated logic are treated as code you own and control. This means no performance-breaking black boxes, no data siloed in external dashboards, and no brittle UI overlays that break on deployment. Your growth rules are versioned alongside your application code, ensuring consistency, security, and seamless integration with your AI tooling, all while maintaining full data sovereignty and system performance.

Use Cases of Skene

Indie Developer Growth Automation

Solo founders and small indie teams often lack the bandwidth for dedicated growth experimentation. Skene acts as an automated growth co-pilot, offloading the continuous work of optimizing onboarding and activation funnels. By automatically identifying where users struggle and testing solutions, it allows a single developer to achieve systematic, data-driven product growth without diverting precious hours from core feature development, effectively scaling their impact.

Early-Stage Startup "Growth Team in a Box"

For resource-constrained early-stage startups, hiring a full growth team is not feasible. Skene serves as a foundational, automated growth department. It provides the continuous optimization and experimentation capabilities of a growth team, enabling startups to rapidly improve their time-to-value, tighten activation rates, and expand customer lifetime value (LTV) from day one, all without adding headcount or complex operational overhead.

PLG Scale-Up Efficiency

For established product-led growth companies, scaling growth operations can lead to bloated teams and slowed iteration. Skene integrates as core infrastructure to augment existing teams. It automates the repetitive testing and optimization of high-volume user journeys, allowing human growth experts to focus on strategy and deep analysis rather than manual flow configuration and dashboard monitoring, thereby increasing overall operational efficiency.

AI-Agent Integrated Development

In modern AI-augmented development environments like Cursor, growth work can become a first-class citizen. Skene's prompt-driven interface and code-native manifests allow AI agents to directly understand, audit, and suggest improvements to the product's growth logic. Developers can task their agents with implementing specific growth fixes derived from Skene's analysis, creating a seamless loop between code-aware growth insights and AI-powered implementation.

Frequently Asked Questions

What is PLG software?

Product-Led Growth (PLG) software is designed to help users discover and realize value within a product organically, without requiring manual intervention from sales or customer success teams. It automates and optimizes the user journey, using the product itself as the primary vehicle to guide users to activation, drive feature adoption, and strengthen retention mechanisms, ultimately fueling sustainable business growth.

How is Skene different from traditional customer experience software?

Traditional tools like walkthrough builders or analytics platforms require manual tour creation, constant maintenance, and rely on brittle UI selectors that break with every code deployment. Skene is fundamentally different; it reads your actual codebase to automatically generate and update onboarding, analytics, and lifecycle automation. It's an infrastructure layer, not an overlay. When you push new code, Skene's understanding and generated flows update automatically, eliminating maintenance and fragility.

How long does it take to set up?

Setup is designed to be incredibly fast, taking less than 60 seconds. You simply connect your GitHub or GitLab repository with read-only access. Skene then automatically analyzes your codebase to generate initial PLG flows and insights. Crucially, no initial code changes, API modifications, or snippet injections are required to get started and see value.

Is my code secure?

Absolutely. Security is a primary design principle. Skene only ever requires read-only access to your repository. All analysis is performed within a secure, isolated environment. Your source code is not stored permanently, and the growth logic Skene helps generate becomes part of your owned codebase, ensuring you maintain complete control and sovereignty over your intellectual property.