agentsclimarketplace
Sign in

Senior devops

Skill aiskillstore/marketplace/skills/davila7/senior-devops

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.From its SKILL.md

Install
npx -y skills add aiskillstore/marketplace --skill senior-devops

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

4.4 KB, 903 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it: 7 files

52.3 KB alongside SKILL.md, 3 of them executable

references/

scripts/

Gives 0 of the 12 instructions most containers cloud skills give in 903 tokens

Counted across 607 of the 705 authors here whose files we hold, read 2026-09-06

  • Run as non-root userin 34 of 607, across 27 files
  • Use multi-stage buildsin 29 of 607
  • Set resource requests and limitsin 24 of 607, across 20 files
  • Configure liveness and readiness probesin 18 of 607, across 14 files
  • Use named volumes for persistent datain 14 of 607, across 9 files
  • Pin base image versionsin 14 of 607
  • Set up environment variablesin 14 of 607, across 10 files
  • Pin provider versionsin 14 of 607
  • Apply least privilege RBAC permissionsin 10 of 607, across 7 files
  • Create a dockerignore filein 10 of 607
  • Use remote state with lockingin 9 of 607
  • Pin base images by digestin 9 of 607, across 8 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.