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Github Actions Pipeline Creator

Listed
monkey1sai·vlatest·devops

Helps with GitHub, pipeline automation as part of automating DevOps pipelines and CI/CD workflows workflows.

Install on your platform

This skill no longer installs under the name github-actions-pipeline-creator. monkey1sai/openai-cli is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

monkey1sai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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About this skill

What it does

This skill generates GitHub Actions pipeline files based on user prompts. It allows users to define the desired workflow, including triggers, jobs, and steps, without needing to manually write YAML code. The generated pipelines can automate tasks like building, testing, and deploying applications directly within a GitHub repository.

When to use it

  • Automating software builds: Create a pipeline that automatically compiles your code whenever changes are pushed to the repository.
  • Running automated tests: Define jobs in your pipeline to execute unit or integration tests on every commit.
  • Deploying applications: Generate pipelines to deploy your application to various environments (e.g., staging, production) after successful testing.
  • Setting up continuous integration/continuous delivery (CI/CD): Quickly establish a CI/CD workflow for your projects.

Key capabilities

  • Generates GitHub Actions YAML files
  • Supports defining triggers (e.g., push events, pull request merges)
  • Allows specification of jobs and steps within the pipeline
  • Automates build, test, and deployment processes

Example prompts

  • "Create a GitHub Actions workflow that runs tests on every push to the main branch."
  • "Generate a pipeline to deploy my Node.js application to Heroku when changes are merged into develop."
  • "Build a workflow that uses Docker to build and test my Python project."

Tips & gotchas

The skill's output is YAML code; ensure you understand the generated configuration before committing it to your repository. You may need to adjust the generated YAML based on your specific project requirements and environment variables.