mahmoud / mahmoud/awesome-python-applications
Add project: Skene
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 18k
- Forks
- 2.7k
- PR merge metrics
- No merged PRs in 30d
Description
Basic info
Application name: Skene
Application repo link: https://github.com/SkeneTechnologies/skene
Application home link: https://www.skene.ai
Application description: Codebase analysis toolkit for product-led growth. Ships as an interactive terminal UI wizard (Bubble Tea) that orchestrates a Python CLI + analysis engine to scan a repo, detect the tech stack, map existing growth features (signup, invites, sharing, billing), surface revenue leakage, and generate prioritized growth recommendations with implementation roadmaps and ready-to-paste prompts for Cursor/Claude. Targets founders and engineers at early-stage PLG products. Supports OpenAI, Gemini, Claude, LM Studio, Ollama, any OpenAI-compatible endpoint as LLM backend.
Qualifications
- Free software with an online source repository.
- Using Python for a considerable part of their functionality. (core CLI and analysis engine —
src/skene/, published on
PyPI asskene; the TUI wrapper is a thin Go front-end that invokes the Python CLI viauvx) - Well-known, or at least prominently used in an identifiable niche. (product-led growth tooling for indie founders / early-stage SaaS)
- Maintained.
- An application, not a library or framework. (end-user CLI + TUI wizard; no Python code required from the user)
Links
repo_url: https://github.com/SkeneTechnologies/skenehome_url: https://www.skene.aidocs_url: https://www.skene.ai/resources/docs/skenepypi_url: https://pypi.org/project/skene/
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Review nearby application entries in the awesome-python-applications repository to identify the expected format and placement. Verify Skene’s repository, home, documentation, and PyPI links, then add the supplied project details; it is done when the entry matches the catalog style and all links are included.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- go, python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 72/100