preset
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 availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
Install with Tessl CLI
npx tessl i github:microsoft/github-copilot-for-azure --skill preset94
Does it follow best practices?
Evaluation — 96%
↑ 4.17xAgent success when using this skill
Validation for skill structure
Evaluation results
94%
82%Azure OpenAI Deployment Automation Script
Capacity-aware region selection and deployment
API version 2024-10-01
0%
100%
Current region checked first
30%
100%
Multi-region fallback only
50%
100%
GlobalStandard SKU filter
0%
100%
GlobalStandard SKU deployment
0%
100%
Capacity 50% calculation
0%
100%
Minimum 50 TPM floor
0%
100%
Deployment name script
0%
40%
No-capacity handling
62%
100%
PROJECT_RESOURCE_ID env var
0%
100%
ARM ID parsing
0%
100%
Deployment monitoring
0%
100%
Without context: $0.3232 · 1m 38s · 15 turns · 21 in / 6,181 out tokens
With context: $0.8797 · 3m 13s · 25 turns · 2,536 in / 12,630 out tokens
100%
93%Deploying Claude Models to Azure AI Foundry
Anthropic model deployment via REST API
REST API for deployment
25%
100%
Correct deployment URL format
0%
100%
Industry prompt — no default
0%
100%
Industry list completeness
0%
100%
Tenant info API call
0%
100%
countryCode extracted
0%
100%
organizationName extracted
0%
100%
modelProviderData in body
0%
100%
Capacity set to 1
0%
100%
Notes explains CLI limitation
25%
100%
GlobalStandard SKU
0%
100%
Deployment monitoring
50%
100%
Without context: $0.2628 · 1m 39s · 13 turns · 66 in / 5,697 out tokens
With context: $0.7533 · 2m 23s · 24 turns · 9,557 in / 9,056 out tokens
96%
46%Unified Model Deployment Script for Mixed AI Provider Portfolio
Multi-format model detection and project setup
Dynamic model format lookup
100%
100%
Default format to OpenAI
0%
100%
MaaS capacity=1
100%
100%
OpenAI capacity calculation
0%
100%
PROJECT_RESOURCE_ID from env
0%
100%
ARM ID sed parsing
0%
100%
Dynamic model listing
50%
70%
Hub creation kind AIServices
100%
100%
Project creation kind AIProject
0%
100%
SKU S0 for new resources
50%
100%
Deploy log file
100%
83%
Architecture decision doc
100%
100%
Without context: $0.3120 · 1m 26s · 18 turns · 23 in / 4,960 out tokens
With context: $0.7610 · 2m 28s · 24 turns · 28 in / 9,535 out tokens
- Evaluated
- Agent
- Claude Code
- Model
- Unknown
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.