skene 0.5.0rc1

PLG analysis toolkit for codebases - analyze code, detect growth opportunities, generate documentation

   

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, a confidence score, and one or more evidence chips 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 *.sql files, 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 *.sql files 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_dir in .skene.config or pass -o/--output to 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	—	—
skills/	Skene Skills — composable backend schemas for Supabase	SQL	npm

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

MIT