slayerassassinjack

slayerassassinjack / b01-gbrain-devops

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☁️ Infrastructure Knowledge Brain — Self-wiring knowledge graph for infra topology, incident history and runbooks.

49
0
69% credibility
Found May 11, 2026 at 49 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 specialized skills and workflows for an AI assistant to manage DevOps and cloud infrastructure knowledge, including incident tracking, runbooks, and service graphs.

How It Works

1
🔍 Discover the Infra Brain

You find this smart helper that organizes all your cloud setup knowledge, past problems, and fix guides in one place.

2
📥 Add to Your AI Assistant

You simply copy the tools into your AI helper's folder so it's ready to use anytime.

3
🚀 Set Up Your Knowledge Base

You tell it to gather your existing guides, service maps, and old incident notes to build the brain.

4
🔥 Handle a Live Incident

When something goes wrong, you ask the brain for similar past problems, runbooks, and quick fixes with progress updates.

5
📝 Add New Learnings

You share what happened, the root cause, and solutions so the brain gets smarter for next time.

6
📊 Review and Improve

After fixing, you run a review to pull out lessons and update guides automatically.

✅ Smarter Operations

Now your team spots patterns, responds faster to alerts, and avoids repeating mistakes with an always-ready knowledge brain.

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Star Growth

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AI-Generated Review

What is b01-gbrain-devops?

b01-gbrain-devops is an infrastructure knowledge graph that auto-wires your infra topology, incident history, and runbooks into a queryable brain for DevOps teams. It delivers eight skills like /infra-ingest for topology configs, /incident-ingest for timelines and root causes, and /runbook-query for resolution patterns, plus three workflows such as incident-response for real-time updates. Built as Claude AI skills with bash setup, it handles infrastructure knowledge management, from basic IT infrastructure knowledge to cost tracking and SLO monitoring.

Why is it gaining traction?

It stands out with self-wiring graphs that link alerts, changes, and incidents automatically, offering live progress bars, structured findings by impact, and suggested next steps—far beyond static GitHub infrastructure diagrams or IaC repos. Developers hook on the domain-specific workflows for on-call briefs and postmortems, turning scattered runbooks into a searchable infrastructure knowledge graph without manual graphing. Early adopters praise the hybrid search from its gbrain roots for quick wins in github infrastructure as code and incident patterns.

Who should use this?

SREs drowning in incident noise, DevOps leads building knowledge infrastructure systems, or platform engineers tracking cloud costs and SLO burns. Ideal for teams doing github infrastructure migration azure or infrastructure as code github actions, needing a personal AI infrastructure github for on-call handoffs and change correlations—not for one-off scripts.

Verdict

Promising for infrastructure knowledge graph fans at 49 stars, but 0.7% credibility score flags it as early-stage with thin docs and no tests—prototype it for your b01 brain setup before production. Worth forking if you're into zero knowledge infrastructure experiments.

(198 words)

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