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Github Actions Workflow

Checked
aj-geddes·vlatest·devops·MIT

Automates GitHub Actions workflow creation, modification, and troubleshooting based on natural language requests.

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 aj-geddes/useful-ai-prompts --skill github-actions-workflow -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/github-actions-workflow/SKILL.md
Scanned
6 files, 325 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

What it does

This skill enables AI agents to create, modify, and manage GitHub Actions workflows directly through natural language commands. It automates the definition of CI/CD pipelines, allowing agents to configure build triggers, job steps, and deployment strategies without manual YAML editing.

When to use it

  • Automating repetitive pipeline setup for new repositories or branches.
  • Adjusting workflow configurations in response to code changes or security requirements.
  • Generating complex multi-stage CI/CD flows for microservices architectures.
  • Quickly prototyping testing or deployment logic during development sprints.

Key capabilities

  • Generate complete GitHub Actions YAML files from text descriptions.
  • Define custom triggers based on events like pushes, pull requests, or schedules.
  • Configure job steps including build commands, artifact handling, and environment variables.
  • Manage workflow permissions and secrets integration securely.

Example prompts

  • "Create a GitHub Actions workflow that runs unit tests on every push to the main branch and deploys to staging on merge."
  • "Generate a YAML file for a multi-stage pipeline that builds Docker images and pushes them to an ECR registry."
  • "Update my existing workflow to add code coverage checks using Coveralls before triggering deployment."

Tips & gotchas

Ensure your AI agent has read/write access to the target GitHub repository to apply workflow changes successfully. Complex workflows may require iterative refinement; start with basic triggers and expand functionality as needed.