内容
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<a href="https://www.skene.ai"><img width="120" height="42" alt="website" src="https://github.com/user-attachments/assets/8ae8c68f-eeb5-411f-832f-6b6818bd2c34"></a> <a href="https://www.skene.ai/resources/docs/skene"><img width="120" height="42" alt="docs" src="https://github.com/user-attachments/assets/f847af52-0f6f-4570-9a48-1b7c8f4f0d7a"></a> <a href="https://www.skene.ai/resources/blog"><img width="100" height="42" alt="blog" src="https://github.com/user-attachments/assets/8c62e3b8-39a8-43f6-bb0b-f00b118aff82"></a> <a href="https://www.reddit.com/r/plgbuilders/"><img width="153" height="42" alt="reddit" src="https://github.com/user-attachments/assets/b420ea50-26e3-40fe-ab34-ac179f748357"></a>
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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:
```bash
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.
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<img src="https://github.com/user-attachments/assets/49dcd0c4-2bad-4fd3-b29e-89ba2b85c669" width="100%" height="auto"/>
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## 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.
<img width="1662" height="393" alt="ide_git" src="https://github.com/user-attachments/assets/0b9de3f8-9083-4dc8-b68e-105abc7ea0b4" />
## Installation
### Terminal UI (recommended)
The TUI is an interactive wizard that guides you through the entire workflow. No prerequisites — the installer handles everything.
```bash
# 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:
```bash
# 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](https://www.skene.ai/resources/docs/skene).
## 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](https://pypi.org/project/skene/) |
| `tui/` | Interactive terminal UI wizard | Go | [GitHub Releases](https://github.com/SkeneTechnologies/skene/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](https://github.com/SkeneTechnologies/skene/issues) or submit a [pull request](https://github.com/SkeneTechnologies/skene/pulls).
## License
[MIT](https://opensource.org/licenses/MIT)
<img alt="Skene_end_git" src="https://github.com/user-attachments/assets/04119cd1-ee00-4902-9075-5fc3e1e5ec48" width="100%" height="auto" />
