What is the primary use of this skill?

It initializes a new Keboola Python component project using a standardized template to ensure all necessary files and structures are in place.

Which template does this skill use?

It uses the official Keboola Python component cookiecutter template found at gh:keboola/cookiecutter-python-component.

Does it set up CI/CD automatically?

Yes, the initialization process includes creating .github/workflows for automated CI/CD pipelines.

What are the next steps after using this skill?

After initialization, you can use the @build-component skill to implement logic or @build-component-ui to design configuration schemas.

Does it handle Docker configuration?

Yes, it creates a Dockerfile as part of the project structure to ensure the component is ready for containerized deployment.

Keboola Component Quickstart

Name: Keboola Component Quickstart
Author: keboola

bykeboola

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Despliegue y DevOps

Initializes and scaffolds new Keboola Python components using official cookiecutter templates and standardized project structures.

Acerca de

This skill streamlines the early stages of Keboola platform development by automating the project initialization process. It guides developers through using the official Python component cookiecutter template to generate a complete project structure, including source directories, testing frameworks, Docker configurations, and GitHub Action workflows. By enforcing best practices from the start, it ensures that every new component is built on a solid, deployable foundation, allowing developers to move quickly from concept to implementation.

Características Principales

Local testing environment setup with data folder structures
Automated project scaffolding via Cookiecutter
Standardized directory layout for Python components
Pre-configured CI/CD pipeline setup with GitHub Workflows
7 GitHub stars
Docker containerization and dependency management configuration

Casos de Uso

Standardizing project architecture across a development team
Starting a new Keboola Python component project from scratch
Rapidly prototyping Keboola integrations with a production-ready baseline

Acerca de

Características Principales

Local testing environment setup with data folder structures
Automated project scaffolding via Cookiecutter
Standardized directory layout for Python components
Pre-configured CI/CD pipeline setup with GitHub Workflows
7 GitHub stars
Docker containerization and dependency management configuration

Casos de Uso

Standardizing project architecture across a development team
Starting a new Keboola Python component project from scratch
Rapidly prototyping Keboola integrations with a production-ready baseline