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skene-growth

Active·★ 106·MIT·Updated 2026-05-29
★ Trending★ RAG / Knowledge Base★ API Integration

Product-Led Growth (PLG) analysis toolkit that detects tech stacks, identifies growth hubs, and generates documentation for codebases

skene-growth is a product-led growth (PLG) analysis toolkit that scans codebases to identify growth opportunities, revenue leakage, and generate comprehensive documentation. It leverages LLMs to provide detailed growth manifests, tailored growth templates, and actionable growth plans.

#Product-Led Growth#Codebase Analysis#LLM Integration#Growth Hacking#Tech Stack Detection#Revenue Optimization#AI Documentation#CLI Tool
$ Install
$ pip install skene-growth
↗ Visit site★ GitHub
01

Features

01Automated Product-Led Growth Analysis for Codebases
02Detection of Growth Features, Revenue Leakage, and Opportunities
03Generation of Custom Growth Manifests and Templates
04LLM-Powered Growth Plan and Implementation Roadmap Generation
05User-Friendly Product Documentation Creation
02

Compatibility

Python
Runtime
Verified via docs
OpenAI
LLM Provider
Verified via docs
Google Gemini
LLM Provider
Verified via docs
Anthropic Claude
LLM Provider
Verified via docs
LM Studio
Local LLM
Verified via docs
Ollama
Local LLM
Verified via docs
03

Quick start

1
$ pip install skene-growth
04

Use cases

↳Assess codebase for product-led growth opportunities
↳Generate comprehensive product and technical documentation
↳Create data-driven growth plans and implementation strategies
↳Identify and address revenue leakage issues in your product
↳Automate the generation of growth loop implementation prompts
05

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Related searches

skene-growth AlternativesBest Workflow Automation Tools 2026Open Source Workflow Automationskene-growth Tutorialskene-growth Vs CompetitorsProduct-Led GrowthCodebase AnalysisLLM Integration

Comments

Log in to leave a comment
  • K
    Kendall DavisMay 17, 2026

    Useful for onboarding new growth engineers who need to understand an unfamiliar codebase quickly.

  • R
    Rowan AndersonApr 24, 2026

    Tech stack detection feeds directly into growth hub identification. The pipeline makes sense.

  • S
    Shawn WhiteApr 16, 2026

    Generates growth documentation directly from codebase analysis — reduces the gap between eng and growth teams.

  • J
    Jordan WilsonMar 30, 2026

    PLG loop identification from static analysis is a novel approach. Works better than I expected.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 106
Last commit1d ago
StatusActive
LicenseMIT
CategoryWorkflow Automation
Trend (30d)
+4.2↑ 0.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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