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senior-devops

Skill4 starsChanged 25 days agoMITView on GitHub

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, implementing monitoring, or optimizing deployment processes.

  • Reads credentials
  • Installs packages

16 other projects use a version of this, 2 of them edited.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 10 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Follow the patterns and practices documented in:

    line 141
  2. Very specific:

    Check the comprehensive troubleshooting section in references/deployment_strategies.md.

    line 195
  3. Distinctive:

    Check script output messages

    line 200

“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Senior Devops

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.md
  • references/infrastructure_as_code.md
  • references/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

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