Product
Plugin
skene
Product-Led Growth (PLG) analysis toolkit that detects tech stacks, plans growth loops and builds the loop iteratively.
Plugin Signal64/100Solid
maintained75
capable53
documented75
adopted45
Install
$ npx -y skills add skenetechnologies/skene --agent claude-code
What's inside
Skill(6 skills)
/analyze-codebaseRun comprehensive PLG analysis on a codebase to detect tech stack, existing growth features, and revenue opportunities. Use when the user says "analyze", "scan", "audit codebase", or "find growth opportunities"./build-implementationGenerate context-aware implementation prompts for a selected growth loop. Use when the user says "build", "implement", "generate code", "create prompt", or "how do I build this"./deploy-telemetrySet up analytics and tracking infrastructure for growth loops. Use when the user says "deploy telemetry", "set up analytics", "tracking", "events", "push to supabase", or "skene push".
Command(6 commands)
/skene-analyzeAnalyze current codebase for PLG opportunities. Scans tech stack, detects existing growth features, identifies revenue leakage, and updates the feature registry./skene-buildBuild an implementation prompt for the selected growth loop. Generates context-aware instructions with code examples and testing checklists./skene-deployDeploy telemetry upstream after build. Expects skene-context/engine.yaml, skene-context/feature-registry.json (or configured output_dir; legacy skene/feature-registry.json still works), and supabase/migrations/*_skene_triggers.sql; push uploads the package to Skene Cloud.
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README
Skene reads your codebase and produces a user journey for your product: the lifecycle stages a user moves through, the milestones inside each stage, and the code or database evidence that proves each milestone is real.
Quick Start
Install and launch the interactive terminal UI:
curl -fsSL https://raw.githubusercontent.com/SkeneTechnologies/skene/main/tui/install.sh | bash
skene
The wizard walks you through provider selection, authentication, and analysis — no configuration needed upfront.
What It Does
Skene turns a repository into a single journey.yaml describing your product's user lifecycle, and renders it as an interactive diagram.
- Agentic analysis — two parallel agents read your project: one walks the codebase, one walks your SQL schemas. They each propose candidate milestones, which are then merged and classified into a canonical seven-stage lifecycle.
- Seven-stage user journey — every product maps to the same canonical stages (discovery, onboarding, activation, engagement, retention, expansion, virality) so journeys are comparable across products. Stage names are specialized to your product where useful.
- Evidence-backed milestones — each milestone carries a
tracked_event, aconfidencescore, and one or moreevidencechips pointing back to the exact code path, database table, or config file that justifies it. - Journey visualizer — the TUI opens a local web app that lays out the stages as columns, with milestone cards and clickable evidence chips, so you can review the journey alongside the underlying source.
- Code-only, schema-only, or both — run against just a codebase, just a directory of
*.sqlfiles, or both for richer evidence.
Supports OpenAI, Gemini, Claude, LM Studio, Ollama, and any OpenAI-compatible endpoint.
Installation
Terminal UI (recommended)
The TUI is an interactive wizard that guides you through the entire workflow. No prerequisites — the installer handles everything.
# Install the TUI
curl -fsSL https://raw.githubusercontent.com/SkeneTechnologies/skene/main/tui/install.sh | bash
# Launch it
skene
Python CLI
If you prefer the command line, you can run Skene directly with uvx (no install needed) or install it globally:
# Install uv (if you don't have it)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Run directly (no install needed)
uvx skene analyse-journey .
# Or install globally
pip install skene
skene analyse-journey .
Useful flags:
--schema-dir <dir>— point at a directory of exported*.sqlfiles to enable the schema agent-o <path>— override the output file (default./skene-context/journey.yaml)--no-specialize— keep the canonical stage names instead of letting the LLM specialize them
For full CLI usage, see the documentation.
Output Layout
Both the Python CLI and the TUI write artifacts to a single bundle directory in your project root, created automatically if missing.
- Default:
./skene-context/journey.yaml— the analysed user journey for your product. - Override: set
output_dirin.skene.configor pass-o/--outputto write elsewhere.
Monorepo Structure
| Directory | Description | Language | Distribution |
|---|---|---|---|
src/skene/ | CLI + analysis engine | Python | PyPI |
tui/ | Interactive terminal UI wizard | Go | GitHub Releases |
cursor-plugin/ | Cursor IDE plugin | — | — |
The TUI (tui/) is a Bubble Tea app that provides an interactive wizard experience and orchestrates the Python CLI via uvx. Each package has independent CI/CD pipelines.
Contributing
Contributions are welcome. Please open an issue or submit a pull request.
License
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FAQ
skene is a Claude Code plugin with 6 hand-picked skills, indexed on Flowy in the Product category. Install it with the command on its page. It includes analyze-codebase, build-implementation, deploy-telemetry. Its skills do not fire on their own yet. Request auto-invocation to have Flowy route them as you prompt. Free and open source.
- What is skene?
- Product-Led Growth (PLG) analysis toolkit that detects tech stacks, plans growth loops and builds the loop iteratively.
- How do I install skene?
- Run these in Claude Code: npx -y skills add skenetechnologies/skene --agent claude-code. Then prompt normally.
- Does skene auto-invoke its skills?
- Not yet. It is indexed on Flowy as a plain plugin. Request auto-invocation on its page and Flowy will route its skills for you as you prompt.
- Is skene free?
- Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.
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