capacity
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 capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Install with Tessl CLI
npx tessl i github:microsoft/github-copilot-for-azure --skill capacity92
Does it follow best practices?
Evaluation — 88%
↑ 1.35xAgent success when using this skill
Validation for skill structure
Evaluation results
70%
13%Azure OpenAI Capacity Discovery Automation
Discovery workflow scripting
Uses discover_and_rank script
0%
100%
Uses query_capacity for versions
0%
100%
Auth validation step
100%
100%
Passes min-capacity parameter
100%
100%
Quota check command present
100%
10%
Correct quota name pattern
0%
0%
Quota Available column
100%
50%
Zero-quota marker
0%
37%
Latest version default
100%
100%
No manual API construction
100%
100%
Phased structure
100%
100%
Without context: $0.3386 · 1m 45s · 13 turns · 19 in / 7,154 out tokens
With context: $0.3294 · 1m 24s · 15 turns · 50 in / 4,727 out tokens
98%
Azure OpenAI Region Capacity Report
Quota annotation and result formatting
Quota Available column
100%
100%
Correct quota name lookup
100%
100%
Zero-quota marked negatively
83%
83%
Meets-target regions first
100%
100%
Quota-available regions prioritized
100%
100%
Project count included
100%
100%
Correct quota values
100%
100%
Model and target header
100%
100%
Meets-target indicator
100%
100%
No irrelevant quota entries
100%
100%
Without context: $0.3956 · 1m 49s · 18 turns · 21 in / 7,665 out tokens
With context: $0.4678 · 2m 12s · 16 turns · 265 in / 8,562 out tokens
97%
55%Azure OpenAI Deployment Readiness Guide
Deployment handoff and error resolution
Quick deploy option
0%
100%
Custom deploy option
0%
100%
Check another model option
85%
100%
Cancel option
0%
100%
Project confirmation required
75%
100%
Default project suggestion
0%
100%
No-capacity error resolution
70%
100%
Auth error resolution
100%
100%
Empty version list resolution
30%
100%
No-projects error resolution
80%
100%
Discovery is read-only
44%
66%
Four options enumerated
0%
100%
Without context: $0.2697 · 1m 43s · 13 turns · 20 in / 5,631 out tokens
With context: $0.5205 · 1m 49s · 24 turns · 4,254 in / 5,556 out tokens
- Evaluated
- Agent
- Claude Code
- Model
- Unknown
Table of Contents
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