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☁️ DevOps Engineering Skills — TDD and planning skills for infrastructure-as-code, pipelines and SRE tooling.

20
0
100% credibility
Found May 03, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A set of guided interactive exercises and workflows for using an AI assistant to plan and practice DevOps tasks like infrastructure coding, pipelines, and monitoring.

How It Works

1
🔍 Discover DevOps Skills

You find a helpful collection of guided exercises to plan cloud setups and team workflows using your AI assistant.

2
📥 Add to Your AI Helper

You simply copy the files into your AI assistant's special skills folder to make them ready to use.

3
🚀 Load the Skills

In your chat with the AI, you tell it to read the new skills, and it lights up with DevOps superpowers.

4
Choose Your Path
⚡
Quick Skill

Tackle one focused exercise like planning a safe system update.

🔄
Full Workflow

Follow an end-to-end plan like setting up monitoring for a new service.

5
📊 Follow the Guide

Your AI walks you through confirming the goal, showing live progress, sharing key insights, creating an action plan, and suggesting what's next.

6
✅ See Results

You get clear tables of priorities, step-by-step plans, and tracking that makes complex DevOps feel simple and achievable.

🎉 DevOps Mastery Unlocked

Now you have professional plans for infrastructure, pipelines, and team processes, ready to build confidently with your AI sidekick.

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AI-Generated Review

What is b02-skills-main-devops?

This GitHub repository delivers devops engineer skills as a set of 8 AI prompts and 3 workflows for Claude, tailored to TDD and planning in infrastructure-as-code, CI/CD pipelines, and SRE tooling. DevOps teams get structured outputs like PRDs as GitHub issues, IaC test cycles for Terraform or Pulumi, Kubernetes refactor plans, and SLO designs with live progress tracking. It solves chaotic DevOps planning by enforcing a consistent 5-step process: scope, progress, findings, action plan, next steps.

Why is it gaining traction?

It stands out from generic devops engineering coursera checklists or ad-hoc scripts by adapting proven TDD patterns to devops github actions, azure pipelines, and best practices like zero-downtime k8s migrations. Developers hook on user-facing perks like progress bars in sessions, impact-sorted tables for monitoring TDD or ops triage, and direct GitHub issue creation for infra sprints. In devops github repositories, it bridges planning to execution faster than manual docs.

Who should use this?

DevOps engineers designing devops engineering foundation pipelines or on AWS, SREs handling incident triage and on-call runbooks, and teams refactoring Kubernetes manifests into deployable issues. Ideal for devops engineering jobs prep via interview grills or rebuilding CI/CD from requirements. Skip if you're deep in enterprise GitHub setups without Claude access.

Verdict

At 19 stars and 1.0% credibility score, this single-file skills pack feels immature but leverages a solid original for devops engineering meaning in practice. Try it for quick wins in devops github copilot workflows if AI planning fits your stack; otherwise, wait for more adoption.

(178 words)

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