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Github Actions Pipeline Builder

Checked
erichowens·vlatest·devops·MIT

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

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add curiositech/some_claude_skills --skill github-actions-pipeline-builder -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

erichowens

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned erichowens/some_claude_skills at 6713fc7a64.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
6713fc7a64
Manifest
.claude/skills/github-actions-pipeline-builder/SKILL.md
Scanned
1 file, 448 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

github-actions-pipeline-builder

What it does

This skill enables AI agents to generate complete GitHub Actions workflow files directly from natural language descriptions. It automates the creation of CI/CD pipelines, allowing developers to define complex build and deployment strategies without manually writing YAML syntax.

When to use it

  • You need to set up a new continuous integration pipeline for a repository but lack experience with YAML configuration.
  • You want to modify an existing workflow based on feedback or changing requirements without editing code directly.
  • You are prototyping a project and need a functional CI/CD setup generated instantly from a text prompt.

Key capabilities

  • Generates valid GitHub Actions YAML files from natural language instructions.
  • Supports defining various workflow triggers, such as push events or pull requests.
  • Configures job steps, including build commands, testing suites, and deployment actions.

Example prompts

  • "Create a GitHub Actions workflow that runs my Python tests on every push to the main branch."
  • "Generate a pipeline that builds my Docker image and pushes it to GitHub Container Registry when I merge to production."
  • "Set up a workflow to lint my TypeScript code and deploy it to AWS Lambda if all checks pass."

Tips & gotchas

Ensure your repository has the necessary permissions for the AI agent to write files to the .github/workflows directory. While the skill generates valid syntax, always review the output before committing to verify that specific tool versions or environment variables match your project's needs.