Senior Devops
SkillCloud & infraThe senior-devops skill is a DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms. It lets an AI agent set up pipelines, write infrastructure as code, and automate deployments on AWS, GCP, or Azure. It also covers monitoring and deployment automation.
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Have an AI agent that can load skills.
What your AI can do with it
- Set up CI/CD pipelines for applications
- Write infrastructure as code for cloud resources
- Automate deployments on AWS, GCP, or Azure
- Configure containerization for services
- Add monitoring to deployed systems
Getting started
- Have an AI agent that can load skills.
- Add the senior-devops skill to the agent's available skills.
- Provide the agent with your cloud provider and project details.
- Ask the agent to set up a pipeline, write infrastructure as code, or automate a deployment.
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
- Oct 2026
ahel review
K1binfo
installs-packages
Automated review, not a security audit. Ruleset v1+k2.
Questions
- What cloud platforms does it support?
- It supports AWS, GCP, and Azure.
- Does it handle monitoring?
- Yes, it includes monitoring as part of its DevOps coverage.
- Can it write infrastructure as code?
- Yes, it includes infrastructure as code among its capabilities.
- What do I need before using it?
- You need an AI agent that can load skills, and you should provide your cloud provider and project details.
- Can it set up CI/CD pipelines?
- Yes, pipeline setup is one of its core functions.
Advanced
- Item type
- skill
- Key
senior-devops-davila7- Source
- github.com/davila7/claude-code-templates
github.com/davila7/claude-code-templates
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