capacity Skill
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 capa Published by microsoft in azure-skills.
What is capacity Skill?
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 capa Published by microsoft in azure-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Data analysis
- Deployment use cases
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use capacity Skill
- Use it for deployment.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/azure-skills
- Skill file: .github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/capacity/SKILL.md
What it does
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 capa
Skill instructions
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 or customize for actual deploym
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Frequently asked questions
What is capacity?
capacity is a open-source AI agent skill with Copy skill directory. Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements.
Who is capacity best for?
capacity is best for reusing agent instructions, scripts, and references, deployment workflows, data analysis workflows.
How do I install capacity?
Install or run capacity using Copy skill directory. Check capacity for the latest setup command.
Is capacity actively maintained?
capacity may need a closer maintenance check before production use.
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