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
Ready-to-paste message
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-builderOr 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.mdTechnical 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:
- Project type: Web app, API, library, microservice, monolith?
- Language/stack: What build tools? What test framework?
- Deployment target: Docker, K8s, VM, serverless, static?
- Environment strategy: dev → staging → production?
- Compliance needs: SOC2? HIPAA? Any audit requirements?
- 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.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2837
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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