preset Skill
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high a Published by microsoft in GitHub-Copilot-for-Azure.
Decision snapshot
Is this a fit?
Deployment, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
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Copy skill directory
2 months ago · NOASSERTION license
No specific cautions were detected. Review the source and requested permissions before installing.
What is preset Skill?
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high a Published by microsoft in GitHub-Copilot-for-Azure. 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. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Deployment use cases
Declared skill metadata
- Declared author: Microsoft
- Declared license: MIT
- Source file: plugin/skills/microsoft-foundry/models/deploy-model/preset/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use preset Skill
- Use it for deployment.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/GitHub-Copilot-for-Azure
- Skill file: plugin/skills/microsoft-foundry/models/deploy-model/preset/SKILL.md
What it does
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high a
Skill instructions
Deploy Model to Optimal Region Automates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option. What This Skill Does 1. Verifies Azure authentication and project scope 2. Checks capacity in current project's region 3. If no capacity: analyzes all regions and shows available alternatives 4. Filters projects by selected region 5. Supports creating new projects if needed 6. Deploys model with GlobalStandard SKU 7. Monitors deployment progress Prerequisites - Azure CLI installed and configured - Active Azure subscription with Cognitive Services read/create permissions - Azure AI Foundry project resource ID (PROJECTRESOURCEID env var or provided interactively) - Format: /subscriptions/{sub-id}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{account}/projects/{project} - Found in: Azure AI Foundry portal → Project → Overview → Resource ID Quick Workflow Fast Path (Current Region Has Capacity) 1. Check auth
Verified compatibility and discovery
Frequently asked questions
What is preset?
preset is a open-source AI agent skill with Copy skill directory. Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed.
Who is preset best for?
preset is best for reusing agent instructions, scripts, and references, deployment workflows.
How do I install preset?
Install or run preset using Copy skill directory. Check preset for the latest setup command.
Is preset actively maintained?
preset may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
