capacitylisted

# 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