# 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.

## Install

Copy the content below into your project:

## Quick Use

```bash
curl -fsSL https://raw.githubusercontent.com/SkeneTechnologies/skene/main/tui/install.sh | bash
skene
# or CLI (no install):
uvx skene
```

## Intro

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)

<p align="center">
  <img alt="Skene_git" src="https://github.com/user-attachments/assets/2be11c04-6b98-4e26-8905-bf3250c4addb" width="100%" height="auto" />
</p>



<p align="center">
  <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>&nbsp;<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>&nbsp;<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>&nbsp;<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>
</p>


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.

## 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.

<p align="center">
  <img src="https://github.com/user-attachments/assets/49dcd0c4-2bad-4fd3-b29e-89ba2b85c669" width="100%" height="auto"/>
<p>

## 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 & Thanks

> Created by [SkeneTechnologies](https://github.com/SkeneTechnologies). Licensed under MIT.
>
> [SkeneTechnologies/skene](https://github.com/SkeneTechnologies/skene) — ⭐ 104

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

---

<!-- ZH -->

## Quick Use

```bash
curl -fsSL https://raw.githubusercontent.com/SkeneTechnologies/skene/main/tui/install.sh | bash
skene
# or CLI (no install):
uvx skene
```

## Intro

skene 是面向 PLG 的代码库分析工具：识别技术栈、建模用户旅程与关键里程碑，并通过 TUI/CLI 产出本地可追踪的分析包与实现提示词，方便迭代落地；已验证 104★，更新于 2026-05-14。

**Best for:** 希望基于代码库做增长闭环分析，并产出可执行改造方案的产品/研发团队

**Works with:** TUI 安装器 + Python CLI（`uvx`/pip）；支持多模型 Provider（见 README）

**Setup time:** 8-15 minutes

### Key facts (verified)

- GitHub：104 stars · 12 forks；最近更新 2026-05-14。
- 许可证：MIT；作者头像与仓库链接均已通过 GitHub API 复核。
- README 中可对照的入口：`skene`。

## Main

- 先跑 TUI：它会引导 Provider 鉴权，并生成本地分析包，便于人工复核与版本对比。

- 把输出当制品管理（如 `skene-context/`）：可追踪的内容入库，密钥与临时数据别提交。

- 验证建议要能落到代码与 schema：每条增长闭环都应能指回具体路径/字段。

- 把生成的提示词当起点：再按你的业务约束与风险偏好重写，避免“一键魔法”。

### README (excerpt)

<p align="center">
  <img alt="Skene_git" src="https://github.com/user-attachments/assets/2be11c04-6b98-4e26-8905-bf3250c4addb" width="100%" height="auto" />
</p>



<p align="center">
  <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>&nbsp;<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>&nbsp;<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>&nbsp;<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>
</p>


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.

## 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.

<p align="center">
  <img src="https://github.com/user-attachments/assets/49dcd0c4-2bad-4fd3-b29e-89ba2b85c669" width="100%" height="auto"/>
<p>

## 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 的 Quick Start 通过 curl 脚本安装 TUI，并用 `skene` 启动终端向导。
- README 记录可用 `uvx skene` 直接运行，或 `pip install skene` 安装后使用。
- README 描述分析结果会写入本地 bundle 目录（如 `./skene-context/`）。

### FAQ

- **会改我的仓库代码吗？**：主要是读代码并写分析制品；如启用可选写入步骤请以 README 为准并先备份。
- **不配 API key 能跑吗？**：README 提到可用本地审计起步；完整能力取决于你的 Provider 配置。
- **从哪个项目开始最好？**：从有清晰注册/上手流程的小服务开始，便于量化对比与迭代。

## Source & Thanks

> Created by [SkeneTechnologies](https://github.com/SkeneTechnologies). Licensed under MIT.
>
> [SkeneTechnologies/skene](https://github.com/SkeneTechnologies/skene) — ⭐ 104


---
Source: https://tokrepo.com/en/workflows/skene-plg-tech-stack-analyzer-cli
Author: Script Depot