Capacity

What it does

When your agent uses it

• : find capacity
• Where can I deploy
• Capacity discovery
• Best region for capacity

Example prompts

• “Use the capacity skill to discover available Azure OpenAI model capacity across regions and projects”
• “/capacity”

Requirements

• A Bash shell
• PowerShell

Workflow steps

6 steps, taken from the step headings in SKILL.md.

1. 1Validate Prerequisites
2. 2Identify Model and Version
3. 3Run Discovery
4. 45: Validate Subscription Quota
5. 5Present Results and Hand Off
6. 6Confirm Project Before Deploying

What it can do on your machine

Read from SKILL.md and the folder at commit d8f4f4e. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 4 files in scripts/ (PowerShell and Shell), which the agent can run.

  Shell commands in SKILL.md call:

  • az
  • jq

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use az, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Capacity loads about 1.7k tokens when it runs. Until then it costs about 148 tokens; SKILL.md has 610 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~148

When it runs · the whole SKILL.md, loaded when a task matches

~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from microsoft/GitHub-Copilot-for-Azure at commit d8f4f4e, republished under its MIT licence (© microsoft). 610 words, ~1,739 tokens.

name

capacity

description

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.

license

MIT

metadata.author

Microsoft

metadata.version

1.0.0

az account show --query "{Subscription:name, SubscriptionId:id}" --output table

.\scripts\query_capacity.ps1 -ModelName <model-name>

./scripts/query_capacity.sh <model-name>

.\scripts\discover_and_rank.ps1 -ModelName <model-name> -ModelVersion <version> -MinCapacity <target>

./scripts/discover_and_rank.sh <model-name> <version> <min-capacity>

# For each candidate region from discovery results:
$usageData = az cognitiveservices usage list --location <region> --subscription $SUBSCRIPTION_ID -o json 2>$null | ConvertFrom-Json

# Check quota for each SKU the model supports
# Quota names follow pattern: OpenAI.<SKU>.<model-name>
$usageEntry = $usageData | Where-Object { $_.name.value -eq "OpenAI.<SKU>.<model-name>" }

if ($usageEntry) {
  $quotaAvailable = $usageEntry.limit - $usageEntry.currentValue
} else {
  $quotaAvailable = 0  # No quota allocated
}

# For each candidate region from discovery results:
usage_json=$(az cognitiveservices usage list --location <region> --subscription "$SUBSCRIPTION_ID" -o json 2>/dev/null)

# Extract quota for specific SKU+model
quota_available=$(echo "$usage_json" | jq -r --arg name "OpenAI.<SKU>.<model-name>" \
  '.[] | select(.name.value == $name) | .limit - .currentValue')

© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts) in plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/capacity of microsoft/GitHub-Copilot-for-Azure.

• SKILL.md
• scripts/discover_and_rank.ps1
• scripts/discover_and_rank.sh
• scripts/query_capacity.ps1
• scripts/query_capacity.sh

Open the folder on GitHubat commit d8f4f4e

Used in 4 other repositories

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in microsoft/GitHub-Copilot-for-Azure, which our catalogue first saw on October 7, 2026.

• microsoft/azure-skillsskills/microsoft-foundry/models/deploy-model/capacity.github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/capacity
• microsoft/skills.github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/capacity
• aiskillstore/marketplaceskills/microsoft/capacityskills/microsoft/deploy-model/capacity+1 more
• majiayu000/claude-skill-registryskills/ai-llm/capacityskills/ai-llm/capacity-aiskillstore-marketplace