Cletrics

34 FinOps specialist AI agents + 6 named-pattern playbooks. Drop into Claude Code, Copilot, Cursor, Windsurf, Aider, Gemini CLI. MIT.

12
0
100% credibility
Found Apr 25, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

An open-source collection of specialized AI personas and practical guides for optimizing cloud spending across major providers, designed to enhance AI coding assistants.

How It Works

1
📰 Discover FinOps helpers

You hear about a free collection of cloud cost experts that work with your AI assistant while searching for ways to lower your bills.

2
💾 Get the collection

Download the handy set of specialist guides to your computer in one quick step.

3
🔗 Link to your AI buddy

Pick your go-to AI coding helper and add these cost-saving experts with a simple setup—no extras needed.

4
💬 Chat with an expert

Ask your AI to use a specialist like the cloud bill interpreter for your specific spending puzzle.

5
💡 Receive tailored tips

The expert shares smart analysis, detection tricks, and fixes to spot waste and plan better.

🎉 Cloud costs drop

Your bills shrink, teams stay happy, and managing expenses becomes a breeze.

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Star Growth

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AI-Generated Review

What is finops-agents?

This open source FinOps GitHub repo delivers 34 specialist AI agents and 6 playbook patterns for cloud cost management, dropping straight into tools like Claude Code, Copilot, Cursor, Aider, or Gemini CLI via simple Shell install scripts. It tackles the grind of relearning cloud billing quirks—CUR schemas, Savings Plans, Kubernetes attribution—by turning your AI assistant into a FinOps specialist for AWS, GCP, Azure, and more. Users get instant access to framework-aligned personas covering 100% of FinOps capabilities, from anomaly detection to governance.

Why is it gaining traction?

Unlike scattered FinOps toolkits on GitHub FinOps Azure or FOCUS FinOps GitHub, these FinOps AI agents are vendor-neutral, MIT-licensed, and pre-tuned for real-world gotchas like zombie NAT gateways or untagged spend drift. The hook is zero-setup integration: run one command, reference an agent by name in chat, and get tailored queries or strategies without context-switching. Early adopters praise the doctrine layer enforcing principles like Iron Triangle trade-offs.

Who should use this?

Cloud FinOps specialists at Amazon or elsewhere, earning typical FinOps specialist salaries around $120K-$160K, handling job descriptions like cost allocation, forecasting, or waste hunts. SREs tuning Kubernetes clusters, platform engineers building billing pipelines, or procurement leads negotiating EDPs will save hours on daily tasks like AWS Cost Explorer audits or Azure reservation planning.

Verdict

Grab it if you're in cloud cost ops—solid docs and coverage make it a practical starter despite 12 stars and 1.0% credibility score signaling early maturity. Fork and contribute to fill gaps like benchmarking agents.

(198 words)

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