# Capacity

Discovers available Azure OpenAI model capacity across regions and projects.

- Repository: https://github.com/microsoft/azure-skills (1609 stars)
- Category: DevOps
- License: MIT
- Last updated: 2026-10-30
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add microsoft/azure-skills --skill capacity -g -a claude-code -y`
Codex: `npx skills add microsoft/azure-skills --skill capacity -g -a codex -y`
Cursor: `npx skills add microsoft/azure-skills --skill capacity -g -a cursor -y`
Gemini CLI: `npx skills add microsoft/azure-skills --skill capacity -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add microsoft/azure-skills`

## Description

Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Capacity Discovery

Finds available Azure OpenAI model capacity across all accessible regions and projects. Recommends the best deployment location based on capacity requirements.

## Quick Reference

| Property | Description |
|----------|-------------|
| **Purpose** | Find where you can deploy a model with sufficient capacity |
| **Scope** | All regions and projects the user has access to |
| **Output** | Ranked table of regions/projects with available capacity |
| **Action** | Read-only analysis, does NOT deploy. Hands off to preset or customize |
| **Authentication** | Azure CLI (`az login`) |

## When to Use This Skill

- ✅ User asks "where can I deploy gpt-4o?"
- ✅ User specifies a capacity target: "find a region with 10K TPM for gpt-4o"
- ✅ User wants to compare availability: "which regions have gpt-4o available?"
- ✅ User got a quota error and needs to find an alternative location
- ✅ User asks "best region and project for deploying model X"

**After discovery → hand off to [preset](../preset/SKILL.md) or [customize](../customize/SKILL.md) for actual deployment.**

## Scripts

Pre-built scripts handle the complex REST API calls and data processing. Use these instead of constructing commands manually.

| Script | Purpose | Usage |
|--------|---------|-------|
| `scripts/discover_and_rank.ps1` | Full discovery: capacity + projects + ranking | Primary script for capacity discovery |
| `scripts/discover_and_rank.sh` | Same as above (bash) | Primary script for capacity discovery |
| `scripts/query_capacity.ps1` | Raw capacity query (no project matching) | Quick capacity check or version listing |
| `scripts/query_capacity.sh` | Same as above (bash) | Quick capacity check or version listing |

## Workflow

### Phase 1: Validate Prerequisites

```bash
az account show --query "{Subscription:name, SubscriptionId:id}" --output table
```

### Phase 2: Identify Model and Version

Extract model name from user prompt. If version is unknown, query available versions:

The rest: https://github.com/microsoft/azure-skills/blob/HEAD/.github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/capacity/SKILL.md