capacity

1# Capacity Discovery
2 
3Finds available Azure OpenAI model capacity across all accessible regions and projects. Recommends the best deployment location based on capacity requirements.
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5## Quick Reference
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7| Property | Description |
8|----------|-------------|
9| **Purpose** | Find where you can deploy a model with sufficient capacity |
10| **Scope** | All regions and projects the user has access to |
11| **Output** | Ranked table of regions/projects with available capacity |
12| **Action** | Read-only analysis — does NOT deploy. Hands off to preset or customize |
13| **Authentication** | Azure CLI (`az login`) |
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15## When to Use This Skill
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17- ✅ User asks "where can I deploy gpt-4o?"
18- ✅ User specifies a capacity target: "find a region with 10K TPM for gpt-4o"
19- ✅ User wants to compare availability: "which regions have gpt-4o available?"
20- ✅ User got a quota error and needs to find an alternative location
21- ✅ User asks "best region and project for deploying model X"
22 
23**After discovery → hand off to [preset](../preset/SKILL.md) or [customize](../customize/SKILL.md) for actual deployment.**
24 
25## Scripts
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27Pre-built scripts handle the complex REST API calls and data processing. Use these instead of constructing commands manually.
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29| Script | Purpose | Usage |
30|--------|---------|-------|
31| `scripts/discover_and_rank.ps1` | Full discovery: capacity + projects + ranking | Primary script for capacity discovery |
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