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CI/CD Pipeline Engineering

Guides the agent to design GitHub Actions, GitLab CI, and Jenkins pipelines and deployment strategies.

Stars
18,243
Licence
Apache-2.0
Files
1 file

What it does

This is a set of written guidance that tells an AI agent to act like a senior DevOps engineer when you ask about automated build, test, and deployment pipelines. Once installed, the agent follows its principles, such as running cheap checks first, keeping secrets out of repository files, and pinning CI runner versions, and it knows common patterns like blue-green and canary releases and how to write GitHub Actions, GitLab CI, and Jenkinsfile syntax. It contains no scripts and does not connect to the internet by itself; the agent's output is advice and config files you would review and run yourself.

Great for

  • Developers setting up or cleaning up CI/CD pipelines for GitHub Actions, GitLab CI, or Jenkins
  • Teams planning a blue-green, canary, or rolling deployment strategy
  • Engineers who want pipeline config reviewed against security and reproducibility practices

Skip it if

  • Production deployments without human review, because the skill gives general patterns and the agent may write config that does not match your repository or cloud setup
  • Non-technical users looking for a finished, tested pipeline, since the file contains guidance only and no verified templates
  • Platforms other than GitHub Actions, GitLab CI, and Jenkins, which the guidance does not cover

Try asking

  • “Write a GitHub Actions workflow that runs lint before tests and caches npm dependencies by package-lock hash”
  • “Convert our Jenkinsfile to declarative pipeline syntax with post-failure notifications”
  • “Plan a canary release for our API with rollback criteria”
  • “Review our pull_request_target workflow for secret exposure risks”
Step-by-step guide: how to use CI/CD Pipeline EngineeringInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the Apache-2.0 licence and an attribution note.

    ci-cd.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip ci-cd.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip ci-cd.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Give the agent your existing pipeline file and platform name so it adapts to your setup rather than generic examples
  • Ask it to pin runner image versions and explain which ones to update, then verify the chosen versions yourself
  • Treat generated workflows as drafts and test them in a non-production branch before relying on them

What's inside

  • SKILL.md

Redistributed unmodified from RightNow-AI/openfang under the Apache-2.0 licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.