devops-infrastructure

mazelb's avatarfrom mazelb

Automatically reviews and optimizes Dockerfiles, CI/CD pipelines, and Infrastructure-as-Code.Activates when you mention: Docker optimization, Dockerfile review, CI/CD pipeline,GitHub Actions, infrastructure code, Terraform, container security, deployment strategy.Provides: Dockerfile multi-stage optimizations, CI/CD efficiency improvements,IaC best practices, security hardening, resource optimization.Supports: Docker, docker-compose, GitHub Actions, Terraform, Kubernetes

⭐1stars🔀0forks📁View on GitHub🕐Updated Dec 8, 2025
[Cloud Infrastructure]

When & Why to Use This Skill

This Claude skill automates the review and optimization of DevOps workflows, specifically focusing on Dockerfiles, CI/CD pipelines, and Infrastructure-as-Code (IaC). It enhances deployment efficiency by implementing multi-stage builds, reducing container image sizes, and hardening security configurations for tools like GitHub Actions, Terraform, and Kubernetes.

Use Cases

  • Production Dockerfile Optimization: Automatically converting single-stage builds into optimized multi-stage builds to significantly reduce image size and accelerate deployment speeds.
  • CI/CD Pipeline Audit: Reviewing GitHub Actions or other pipeline configurations to implement dependency caching, parallel job execution, and secret management best practices.
  • Infrastructure-as-Code (IaC) Validation: Analyzing Terraform scripts and Kubernetes manifests to ensure resource limits, network security policies, and industry-standard best practices are met.
  • Container Security Hardening: Identifying and remediating security vulnerabilities such as root-user execution, exposed sensitive data, and the use of outdated or bloated base images.
namedevops-infrastructure
description|
Activates when you mentionDocker optimization, Dockerfile review, CI/CD pipeline,
ProvidesDockerfile multi-stage optimizations, CI/CD efficiency improvements,
SupportsDocker, docker-compose, GitHub Actions, Terraform, Kubernetes
allowed-tools["Read", "Bash(docker images)", "Bash(docker ps)"]

DevOps & Infrastructure Skill

Automatically optimizes Docker configurations, CI/CD pipelines, and infrastructure code.

When This Skill Activates

Claude invokes this skill when you:

  1. Show a Dockerfile or docker-compose.yml
  2. Ask about CI/CD optimization
  3. Mention container security
  4. Discuss deployment strategies
  5. Work with infrastructure code

What This Skill Does

1. Dockerfile Optimization

Checks for:

  • Multi-stage builds
  • Minimal base images (alpine/slim)
  • Layer caching optimization
  • Security (non-root user, specific versions)
  • Image size reduction
  • Build speed improvements

Example Optimization:

# Before: 995MB
FROM python:3.11
COPY . /app
RUN pip install -r requirements.txt

# After: 145MB (85% reduction)
FROM python:3.11-slim AS builder
COPY requirements.txt .
RUN pip install --user --no-cache-dir -r requirements.txt

FROM python:3.11-slim
COPY --from=builder /root/.local /root/.local
COPY . /app
USER appuser:1001

2. CI/CD Pipeline Optimization

Checks for:

  • Dependency caching
  • Parallel job execution
  • Matrix strategies
  • Secrets management
  • Permissions (least privilege)
  • Security scanning integration

3. Container Security

Checks for:

  • Running as root
  • Exposed secrets
  • Vulnerable base images
  • Missing health checks
  • Resource limits
  • Network security

4. Infrastructure-as-Code Review

Supports:

  • Terraform
  • CloudFormation
  • Kubernetes manifests
  • docker-compose files

Archetype-Specific Optimizations

For rag-project:

  • Optimize OpenSearch JVM settings
  • Ollama model caching
  • Redis connection pooling
  • Multi-stage build for Python dependencies

For api-service:

  • Separate worker and API images
  • Celery resource optimization
  • Database connection pooling
  • Health check configuration

For frontend:

  • Next.js standalone output
  • Static asset optimization
  • Build caching strategies
  • Environment variable handling

Output Format

Provides:

  1. Current Issues: Problems identified
  2. Optimized Configuration: Improved version
  3. Improvements: Size/speed/security gains
  4. Migration Steps: How to apply changes
  5. Testing: Verification steps

Example Usage

User: "Review my Dockerfile for production"
Claude: [Activates devops-infrastructure skill]
- Identifies single-stage build (large image)
- Suggests multi-stage optimization
- Adds security hardening
- Provides optimized Dockerfile

Result: 995MB → 145MB (85% reduction)