Guide · Agent skill

How to use the CI/CD and Automation agent skill

Updated 2026-10-29 · written with AI from the project's own documentation and checked against our catalogue data

The ci-cd-and-automation skill is a set of guidelines that tells an AI coding agent how to build automated pipelines which run checks on every code change: linting, type checking, tests, builds and security audits. It is aimed at developers working in a Git repository, especially Node or TypeScript projects that use GitHub Actions. After this guide you will know how to install the skill, how to ask for pipeline work in plain language, and which safety points to review before the agent changes a deployment.

CI/CD and Automationaddyosmani/agent-skills · MIT Download the skill

Quick start

1Install the skill. Download the ZIP from this page and unzip it into ~/.claude/skills/ for all projects, or into a project's .claude/skills/ folder. In the Claude apps, you can instead upload the ZIP under Settings → Capabilities → Skills.
2Confirm your repository is ready. Make sure the project is a Git repository, ideally on GitHub with GitHub Actions enabled, and that it uses Node.js and npm with scripts for lint, test and build.
3Describe your goal in plain words. Ask the agent to set up or change a pipeline, automate a quality gate, or plan a deployment, and name your stack so the examples match.
4Review the generated workflow. Check every run command, trigger and secret reference before committing. Confirm nothing grants CI access to production secrets.
5Store credentials in GitHub Secrets. Add any database or deployment tokens, such as CI_DB_PASSWORD or VERCEL_TOKEN, as GitHub Secrets rather than writing them into workflow files.
6Push and feed failures back. Push the branch, and if CI fails, paste the error output into the agent with an instruction to fix it and verify locally before pushing again.

What the skill makes the agent do

When the skill is active, the agent follows a quality-gate approach: every change should pass lint, type checking, unit tests, a build, integration tests where relevant, and a security audit before it is merged. The skill states that no gate should be skipped, so the agent should fix a failing lint rule or test rather than disable it.

The skill also covers deployment patterns such as preview deployments, feature flags, staged rollouts and rollback workflows. It describes how to feed CI failure output back to the agent so it can fix the problem and push again.

Writes GitHub Actions workflow files such as .github/workflows/ci.yml
Explains how to pass database or end-to-end test credentials through GitHub Secrets
Suggests deployment patterns: preview deployments, feature flags, staged rollouts, rollback workflows
Describes a loop where CI failure output is pasted back to the agent to fix and re-push

Install the skill (ZIP download or Claude apps)

The skill is distributed as a ZIP file from this page. The package contains a single file, SKILL.md. There are two ways to install it.

Option 1: unzip it into your user skills folder, ~/.claude/skills/, so it is available across your projects. Option 2: unzip it into a project-level .claude/skills/ folder so it applies only to that repository. Option 3: in the Claude apps, open Settings, then Capabilities, then Skills, and upload the ZIP there.

Personal install: ~/.claude/skills/ (available in every project)
Project install: .claude/skills/ inside your repository (shared with the team if committed)
Claude apps: Settings → Capabilities → Skills, then upload the ZIP

Trigger the skill with natural requests

You do not need a special command. The skill's description tells the agent when to use it, so describe your goal in plain words. Good triggers mention setting up or changing a pipeline, automating quality gates, configuring test runners in CI, or planning a deployment strategy.

Be specific about your stack and your goal. Mentioning Node, TypeScript, GitHub Actions or Vercel helps the agent match the examples to your project.

"Set up a GitHub Actions CI pipeline for this Node 22 TypeScript project with lint, type check, tests and build."
"Our CI is failing on the type check. Here is the error. Fix it and verify locally before pushing."
"Add a preview deployment for every pull request using our Vercel token."
"Plan a staged rollout with a feature flag for the new checkout flow, including a rollback workflow."

Set up a basic CI pipeline

The skill's basic pipeline runs on pushes and pull requests to main. It checks out the code, sets up Node 22 with npm caching, installs dependencies with npm ci, then runs lint, a TypeScript check, tests with coverage, a build, and an npm audit at high severity.

Ask the agent to adapt this file to your scripts. If your project uses different script names, the agent should change the run lines to match rather than invent new ones.

Triggers: pull requests and pushes to main
Runtime: ubuntu-latest with Node 22

name: CI

on:
  pull_request:
    branches: [main]
  push:
    branches: [main]

jobs:
  quality:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '22'
          cache: 'npm'
      - name: Install dependencies
        run: npm ci
      - name: Lint
        run: npm run lint
      - name: Type check
        run: npx tsc --noEmit
      - name: Test
        run: npm test -- --coverage
      - name: Build
        run: npm run build
      - name: Security audit
        run: npm audit --audit-level=high

Add database and end-to-end tests safely

For integration tests that need a database, the skill shows a Postgres 16 service container in GitHub Actions. The password is read from the GitHub Secret CI_DB_PASSWORD rather than typed into the file. Migrations run with Prisma before the integration tests start.

The skill recommends using secrets even for CI-only test databases, and says CI should never have production secrets. End-to-end tests use Playwright, which the workflow installs with Chromium before running, and it uploads the Playwright report as an artifact when a run fails.

Store CI_DB_PASSWORD in GitHub Secrets (Settings → Secrets and variables → Actions in your repository)
Use separate secrets for CI testing; keep production secrets in your deployment platform or vault
Keep local .env files out of Git; commit .env.example as a template

Feed CI failures back to the agent

When a run fails, copy the specific error output from the GitHub Actions log and give it to the agent with a clear instruction to fix the issue and verify locally before pushing. The skill lists typical responses: for a lint failure the agent runs the lint fix command and commits, for a type error it reads the error location and fixes the type, and for a build error it checks configuration and dependencies.

Lint failure: agent runs npm run lint -- --fix and commits
Type error: agent reads the error location and fixes the type
Test failure: agent follows the debugging-and-error-recovery skill
Build error: agent checks config and dependencies

Plan deployments, feature flags and rollbacks

The skill describes preview deployments for each pull request, using Vercel as an example with a VERCEL_TOKEN secret. For release control it recommends feature flags, which let you merge code, enable it for a small share of users, and disable it without redeploying. Flags should be removed once fully rolled out, and the skill suggests setting a cleanup date when you create one.

For staged releases, the skill's flow is: merge to main, deploy to staging automatically, verify manually, then deploy to production and monitor for errors for a 15-minute window before treating the release as done. The rollback example is a manual workflow_dispatch job that takes a version input and passes it through an environment variable rather than interpolating it into the script.

Feature flags: merge early, enable later, canary, then remove the flag and dead code
Staged rollout: staging, manual verification, production, 15-minute monitoring window
Rollback: manual workflow with a version input, run through npx vercel rollback in the example

name: Rollback
on:
  workflow_dispatch:
    inputs:
      version:
        description: 'Version to rollback to'
        required: true

jobs:
  rollback:
    runs-on: ubuntu-latest
    steps:
      - name: Rollback deployment
        env:
          VERSION: ${{ inputs.version }}
        run: |
          npx vercel rollback "$VERSION"

What people use it for

Creating a first CI pipeline for a new Node or TypeScript project with lint, type checks, tests and a build
Having the agent fix a failing lint or type check from pasted CI output
Adding Postgres integration tests with credentials kept in GitHub Secrets
Setting up Playwright end-to-end tests that upload a report when they fail
Planning a feature flag rollout with staged releases and a manual rollback workflow

Frequently asked questions

How do I install the ci-cd-and-automation agent skill?

Download the ZIP from this page and unzip it into ~/.claude/skills/ to use it everywhere, or into a project's .claude/skills/ folder to use it in one repository. In the Claude apps, you can upload the ZIP under Settings → Capabilities → Skills.

What do I need to use this skill?

You need a Git repository, preferably on GitHub with GitHub Actions, plus Node.js and npm. The examples use Node 22 and tools such as eslint, prettier, TypeScript, Jest or Vitest, Playwright and Prisma. A Vercel token is optional, for preview deployments.

Is the ci-cd-and-automation skill free?

The skill is licensed under MIT, according to this listing. Check the license file in the repository for the full terms.

Does this skill run scripts on my computer?

The listing says the skill does not run scripts, but it does use the network. The workflow examples include deploy and rollback steps that can affect live systems, so review them before merging.

Can it work with GitLab, Bitbucket or Jenkins?

The skill's examples are written for GitHub Actions and npm-style tooling. Other CI systems or stacks will need substantial rewriting, so ask the agent to translate the pipeline and check each step.

Why does CI fail after the agent makes a change?

Read the failing step in the GitHub Actions log and paste the exact error into the agent. The skill suggests fixing the underlying problem, such as a type error or failing test, rather than disabling the check, and verifying locally before pushing again.

New agent skills, repos and AI tools — every week

The best new skills and open-source projects, the fastest-growing repos, and one free prompt. Five minutes to read. Unsubscribe anytime.

Our verdict

This skill suits developers setting up a CI pipeline for a Node or TypeScript project on GitHub, and teams who want an agent to fix failing lint, type or test checks from CI output. It is a poor fit for people without a code repository, for projects on other CI systems without a rewrite, or for production deployment changes made without human review.

Download the skill