python-deploy

What problem does it solve?

Python project deployment is error-prone and time-consuming as teams juggle multiple tools, environments, and packaging formats. It also requires manual detection of the project's Python tooling and setup to ensure reproducible builds and containerized deployments.

Core Features & Use Cases

• Detects Python frameworks and packaging systems (pyproject.toml, requirements.txt, Pipfile, setup.py) and suggests consistent build and deployment workflows.
• Generates or recommends Dockerfiles, CI configs, and reproducible install commands across common Python toolchains.
• Use Case: You have a Django project with Poetry and Dockerfile requirements; this skill can infer the right build steps and provide a ready-to-use deployment plan.

Quick Start

Point this skill at a Python project directory to automatically detect tooling, install dependencies, and generate a Dockerfile and deployment steps.