Senior Devops
SkillCloud & infraGuides your agent through setting up CI/CD pipelines, writing infrastructure-as-code, containers, and AWS/GCP/Azure deployments.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Senior Devops skill
About this skill
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementi
What this skill tells your AI
The instructions your AI receives, as published by davila7/claude-code-templates in cli-tool/components/skills/development/senior-devops/SKILL.md and read by ahel’s review.
Complete toolkit for senior devops with modern tools and best practices.
Quick Start
Main Capabilities
This skill provides three core capabilities through automated scripts:
# Script 1: Pipeline Generator
python scripts/pipeline_generator.py [options]
# Script 2: Terraform Scaffolder
python scripts/terraform_scaffolder.py [options]
# Script 3: Deployment Manager
python scripts/deployment_manager.py [options]
Core Capabilities
1. Pipeline Generator
Automated tool for pipeline generator tasks.
Features:
- Automated scaffolding
- Best practices built-in
- Configurable templates
- Quality checks
Usage:
python scripts/pipeline_generator.py <project-path> [options]
2. Terraform Scaffolder
Comprehensive analysis and optimization tool.
Features:
- Deep analysis
- Performance metrics
- Recommendations
- Automated fixes
Usage:
python scripts/terraform_scaffolder.py <target-path> [--verbose]
3. Deployment Manager
Advanced tooling for specialized tasks.
Features:
- Expert-level automation
- Custom configurations
- Integration ready
- Production-grade output
Usage:
python scripts/deployment_manager.py [arguments] [options]
Reference Documentation
Cicd Pipeline Guide
Comprehensive guide available in references/cicd_pipeline_guide.md:
- Detailed patterns and practices
- Code examples
- Best practices
- Anti-patterns to avoid
- Real-world scenarios
Infrastructure As Code
Complete workflow documentation in references/infrastructure_as_code.md:
- Step-by-step processes
- Optimization strategies
- Tool integrations
- Performance tuning
- Troubleshooting guide
Deployment Strategies
Technical reference guide in references/deployment_strategies.md:
- Technology stack details
- Configuration examples
- Integration patterns
- Security considerations
- Scalability guidelines
Tech Stack
Languages: TypeScript, JavaScript, Python, Go, Swift, Kotlin Frontend: React, Next.js, React Native, Flutter Backend: Node.js, Express, GraphQL, REST APIs Database: PostgreSQL, Prisma, NeonDB, Supabase DevOps: Docker, Kubernetes, Terraform, GitHub Actions, CircleCI Cloud: AWS, GCP, Azure
Development Workflow
1. Setup and Configuration
# Install dependencies
npm install
# or
pip install -r requirements.txt
# Configure environment
cp .env.example .env
2. Run Quality Checks
# Use the analyzer script
python scripts/terraform_scaffolder.py .
# Review recommendations
# Apply fixes
3. Implement Best Practices
Follow the patterns and practices documented in:
references/cicd_pipeline_guide.mdreferences/infrastructure_as_code.mdreferences/deployment_strategies.md
Best Practices Summary
Code Quality
- Follow established patterns
- Write comprehensive tests
- Document decisions
- Review regularly
Performance
- Measure before optimizing
- Use appropriate caching
- Optimize critical paths
- Monitor in production
Security
- Validate all inputs
- Use parameterized queries
- Implement proper authentication
- Keep dependencies updated
Maintainability
- Write clear code
- Use consistent naming
- Add helpful comments
- Keep it simple
Common Commands
# Development
npm run dev
npm run build
npm run test
npm run lint
# Analysis
python scripts/terraform_scaffolder.py .
python scripts/deployment_manager.py --analyze
# Deployment
docker build -t app:latest .
docker-compose up -d
kubectl apply -f k8s/
Troubleshooting
Common Issues
Check the comprehensive troubleshooting section in references/deployment_strategies.md.
Getting Help
- Review reference documentation
- Check script output messages
- Consult tech stack documentation
- Review error logs
Resources
- Pattern Reference:
references/cicd_pipeline_guide.md - Workflow Guide:
references/infrastructure_as_code.md - Technical Guide:
references/deployment_strategies.md - Tool Scripts:
scripts/directory
Signals
- GitHub stars
- 32k
- Forks
- 4k
- Last commit
- Sep 2026
ahel review
K1binfo
installs-packages
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
senior-devops-davila7- Source
- github.com/davila7/claude-code-templates
github.com/davila7/claude-code-templates