Github Actions Pipeline Creator
ListedHelps with GitHub, pipeline automation as part of automating DevOps pipelines and CI/CD workflows workflows.
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github-actions-pipeline-creator. monkey1sai/openai-cli is deleted or private, so it cannot be installed from.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.
What we know about this skill
Publisher
monkey1sai
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Install target
Live repository
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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.