ci-cd-pipelines

Automate Python CI/CD pipelines with GitHub Actions for testing, linting, and releases.

Updated Feb 25, 2026
One-click install
npx skills add https://github.com/ACubero/IA_AGENT_esqueleto_proyectos_python_antigravity --skill ci-cd-pipelines-acubero
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ci-cd-pipelines
Source: https://github.com/ACubero/IA_AGENT_esqueleto_proyectos_python_antigravity/tree/main/.agent/skills/ci_cd_pipelines
Command: npx skills add https://github.com/ACubero/IA_AGENT_esqueleto_proyectos_python_antigravity --skill ci-cd-pipelines-acubero

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the development lifecycle by automating testing, building, and deployment processes, ensuring code quality and faster releases.

Core Features & Use Cases

  • CI Automation: Set up continuous integration pipelines to automatically run tests and checks on every code push or pull request.
  • Automated Releases: Configure workflows to create tagged releases automatically.
  • Deployment Automation: Define steps for deploying your application to various environments.
  • Use Case: Ensure all new code passes linting, type checking, and unit tests before merging into the main branch, and automatically deploy to staging upon merging to develop.

Quick Start

Configure GitHub Actions to run tests and linting for your Python project.

Frequently Asked Questions about ci-cd-pipelines

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up GitHub Actions to automate testing and linting for a Python project?

To set up GitHub Actions for a Python project, you configure workflows that automatically run tests and linting on every push or pull request. This Skill streamlines that process by managing pipelines for testing, linting, type checking, and code coverage using tools like Ruff, mypy, and pytest.

What is continuous deployment for Python projects and how does it handle automated releases?

Continuous deployment for Python projects automates releasing and deploying code after it passes checks. This Skill configures workflows to create tagged releases automatically and defines steps for deploying your application to various production environments.

Can I use Ruff, mypy, and pytest together in a single continuous integration pipeline?

Yes, you can use Ruff, mypy, and pytest together in a single continuous integration pipeline. This Skill integrates these tools to execute robust pipeline checks, ensuring all new code passes linting, type checking, and unit tests before merging.

How do I automate Python deployment to staging upon merging to the main branch?

You automate Python deployment by defining workflow steps for various environments. This Skill allows you to ensure all new code passes checks before merging into the main branch, and automatically deploys to staging upon merging to develop.

Does this CI CD pipeline integrate with Codecov for code coverage reporting?

Yes, this CI/CD pipeline integrates with Codecov for code coverage reporting. It manages workflows that include code coverage checks alongside testing, linting, and type checking to maintain code quality throughout the development lifecycle.