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CLI ToolsMay 14, 2026·3 min de lecture

skene — PLG Tech-Stack Analyzer CLI

PLG codebase analyzer: detect stack, model user journeys, and generate implementation prompts via TUI/CLI. Verified 104★; pushed 2026-05-14.

Prêt pour agents

Staging sûr pour cet actif

Cet actif est d'abord staged. Le prompt copié demande à l'agent d'inspecter les fichiers staged avant d'activer scripts, config MCP ou config globale.

Stage only · 17/100Policy : staging
Surface agent
Tout agent MCP/CLI
Type
CLI Tool
Installation
Stage only
Confiance
Confiance : Established
Point d'entrée
Asset
Commande de staging sûr
npx -y tokrepo@latest install 12805c07-34b4-5d3f-9b6c-5989c941dbd1 --target codex

Stage les fichiers d'abord; l'activation exige la revue du README et du plan staged.

Introduction

PLG codebase analyzer: detect stack, model user journeys, and generate implementation prompts via TUI/CLI. Verified 104★; pushed 2026-05-14.

Best for: Product and engineering teams who want codebase-driven growth-loop analysis with concrete outputs

Works with: TUI installer + Python CLI (uvx/pip); supports common LLM providers (README)

Setup time: 8-15 minutes

Key facts (verified)

  • GitHub: 104 stars · 12 forks · pushed 2026-05-14.
  • License: MIT · owner avatar + repo URL verified via GitHub API.
  • README-backed entrypoint: skene.

Main

  • Run the TUI first: it guides provider auth and produces a local analysis bundle you can review and diff over time.

  • Treat outputs as artifacts (skene-context/): commit what you want to track (journey model, plan) and ignore secrets.

  • Validate findings by linking each “growth loop” suggestion back to concrete code paths or schema elements.

  • Use generated prompts as starting points, then rewrite them to match your product constraints and risk profile.

README (excerpt)

Skene_git

website docs blog reddit

Skene is a codebase analysis toolkit for product-led growth. It models your product's user journey from your schema and code, surfaces growth opportunities, and turns them into actionable implementation plans.

What It Does

  • Journey-first analysis -- compiles a view of your product's user journey: lifecycle stages, milestones, and value points, derived from your schema and code
  • Journey visualizer -- opens the compiled journey in a local web app, with the lifecycle stages and milestones laid out as a diagram alongside the underlying data
  • Tech stack detection -- identifies frameworks, databases, auth, deployment
  • Growth feature discovery -- finds existing signup flows, sharing, invites, billing
  • Feature registry -- tracks features across analysis runs, links them to growth loops
  • Revenue leakage analysis -- spots missing monetization and weak pricing tiers

Source-backed notes

  • README Quick Start installs the TUI via a curl script and launches skene from the terminal.
  • README documents running the CLI with uvx skene or installing via pip install skene.
  • README describes outputs written to a local bundle directory such as ./skene-context/.

FAQ

  • Does it change my repo?: It primarily reads and writes analysis artifacts; review README for any optional write steps.
  • Can I run without an API key?: README mentions a free local audit path; provider features depend on your setup.
  • What’s a good first target?: A small service with clear signup or onboarding flow—so journey modeling is measurable.
🙏

Source et remerciements

Created by SkeneTechnologies. Licensed under MIT.

SkeneTechnologies/skene — ⭐ 104

Thanks to the upstream maintainers and contributors for publishing this work under an open license.

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