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Deploy & cloud (DevOps)48k · #2837

devops-pipeline-builder

Lets the agent build and automate continuous delivery pipelines. It ensures code is tested and deployed efficiently and reliably.

What it does

This agent helps create and manage automated systems for building, testing, and deploying software (called CI/CD pipelines). It can also configure Docker containers and deployment strategies.

When to use it

  • ✓When you want to automate the delivery of your code.
  • ✓When setting up how your application will be packaged into a container.
  • ✓When deciding the best way to release your application to users.

Example of what to ask your AI

“Create a CI/CD pipeline for a Node.js web application that uses Docker and deploys to Kubernetes.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/devops-pipeline-builder/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/devops-pipeline-builder/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

It analyzes your project's needs, like application type and where it will run, to suggest and configure the best pipeline and deployment patterns.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill devops-pipeline-builder

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/devops-pipeline-builder/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

When to Use

  • Use when this upstream workflow matches the user's stated goal.
  • Use when the task requires the procedures documented in this skill.

DevOps Pipeline Builder

You are a DevOps engineer who has built and maintained pipelines processing millions of deployments. You design for reliability, speed, and security — in that order.

Decision Framework

Before writing any pipeline/config, establish:

  1. Project type: Web app, API, library, microservice, monolith?
  2. Language/stack: What build tools? What test framework?
  3. Deployment target: Docker, K8s, VM, serverless, static?
  4. Environment strategy: dev → staging → production?
  5. Compliance needs: SOC2? HIPAA? Any audit requirements?
  6. Team size: 1 person vs 50 devs changes the complexity budget

Pipeline Patterns

GitHub Actions — Standard Web App

name: CI/CD Pipeline

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

env:
  REGISTRY: ghcr.io
  IMAGE_NAME: ${{ github.repository }}

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '22'
          cache: 'npm'
      - run: npm ci
      - run: npm test
      - run: npm run lint
      # Security audit
      - run: npm audit --audit-level=high
      
  build-and-push:
    needs: test
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    permissions:
      contents: read
      packages: write
    steps:
      - uses: actions/checkout@v4
      - uses: docker/login-action@v3
        with:
          registry: ${{ env.REGISTRY }}
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}
      - uses: docker/build-push-action@v5
        with:
          context: .
          push: true
          tags: |
            ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:latest
            ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ github.sha }}
          cache-from: type=gha
          cache-to: type=gha,mode=max

  deploy:
    needs: build-and-push
    runs-on: ubuntu-latest
    environment: production
    steps:
      - run: |
          # Add deployment commands here
          echo "Deploying ${{ github.sha }} to production"

Docker — Multi-stage Production Build

# Stage 1: Build
FROM node:22-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --ignore-scripts
COPY . .
RUN npm run build

# Stage 2: Production
FROM node:22-alpine AS runner
WORKDIR /app
RUN addgroup --system --gid 1001 appgroup && \
    adduser --system --uid 1001 appuser

COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
COPY --from=builder /app/package.json ./

USER appuser
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=3s \
  CMD wget -qO- http://localhost:3000/health || exit 1

CMD ["node", "dist/server.js"]

Deployment Strategy Decision Tree

Is zero-downtime required?
├── Yes
│   ├── Have load balancer/ingress?
│   │   ├── Yes → Blue/Green or Rolling Update
│   │   └── No → Canary with traffic splitting
│   └── Database migrations?
│       ├── Yes → Backward-compatible migrations first
│       └── No → Simple rolling update
└── No
    ├── Is it a dev/staging env?
    │   └── Yes → Direct push, recreate containers
    └── No → Why not? Add zero-downtime.

Common Anti-Patterns to Avoid

Anti-Pattern Why It's Bad Fix
latest tag in production Non-reproducible, untraceable Use SHA or semver tags
Build secrets in Dockerfile Visible in image layers Multi-stage + build args
No health checks Orchestration can't detect failures Add HEALTHCHECK
Running as root Security risk Create non-root user
Giant Docker images Slow pulls, attack surface Multi-stage builds, alpine
No .dockerignore Slow builds, leaked secrets Create comprehensive .dockerignore
Hardcoded env vars Inflexible, unsecretive Runtime env injection
No pipeline caching Slow CI, wasted compute Cache layers and dependencies

Infrastructure Checklist

For any production deployment, verify:

  • Health check endpoint exists and checks all dependencies
  • Graceful shutdown (SIGTERM handling)
  • Structured logging (JSON, correlation IDs)
  • Secrets management (not in env vars in K8s, use sealed secrets/vault)
  • Resource limits set (CPU/memory requests and limits)

…

FAQ

What is a CI/CD pipeline?

It's a set of automatic steps that take your code, test it, and prepare it to be released to users, making the process faster and more reliable.

What is Docker?

It's a tool that packages your application and everything it needs to run into a standardized unit called a container, ensuring it works anywhere.

What are deployment strategies?

These are different methods for releasing your application to users, like 'blue/green' or 'rolling update', to minimize disruptions and risks.

Details

Original description by the author

Design and implement CI/CD pipelines, Docker configurations, deployment strategies, and infrastructure automation with production-ready patterns.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#2837
License
MIT
Updated
10/15/2026

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