# cloud-finops

Injects 21 FinOps reference files into Claude Code to guide cloud, AI, and SaaS cost management. Useful for commitment sizing and chargeback design.

- plugin · `type=plugin` · Claude Code · ★ 65
- Author: OptimNow
- License: CC-BY-SA-4.0 · policy=link-only · description only; the file stays with the author
- Source: https://github.com/OptimNow/cloud-finops-skills
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/plugins/cloud-finops

## What it does

Standard models frequently miscalculate reservation break-even thresholds and confuse AWS commitment models with Azure reservation rules. This plugin provides 21 curated documents directly inside Claude Code. It covers billing structures across AWS, Azure, GCP, and OCI, including FOCUS 1.2 exports and BigQuery billing schemas.

Beyond basic infrastructure, the documentation targets AI inference spend across Bedrock, Vertex AI, and Azure OpenAI, alongside data platforms like Snowflake and Databricks. The files incorporate FinOps Framework standards, contractual rules such as Azure EA-to-MCA transitions, and ITAM guidelines. Updates arrive bi-monthly.

The plugin delivers knowledge files directly into context without executable tooling. Running the six interactive lookup utilities requires configuring the external MCP connector separately.

## Requirements
- Works with: AWS, Azure

## Install

### Claude Code (native platform)

**Plugin marketplace**
In the agent chat (not a shell):
```text
/plugin marketplace add anthropics/claude-plugins-community
```
In the agent chat (not a shell):
```text
/plugin install cloud-finops@claude-community
```

## When to use it
- evaluate AWS Savings Plans thresholds for database workloads
- format billing exports according to the FOCUS 1.2 specification
- navigate contractual rules during an Azure EA to MCA transition
- track inference expenses across Bedrock, Vertex AI, and Databricks

## Example prompts
- "Evaluate our break-even point for database Savings Plans using FOCUS 1.2 rules."
- "Explain the reservation transfer rules during an Azure EA to MCA migration."
- "Outline a chargeback structure for AI model inference on Bedrock and Vertex AI."

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From the same set: [optimnow/cloud-finops-skills](https://affpapa.org/en/nevibecode/by/optimnow/cloud-finops-skills.md) — 2 cards

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