skills/vendor/azure-cost/SKILL.md
Azure cost management: query costs, forecast spending, optimize to reduce waste. WHEN: "Azure costs", "Azure bill", "cost breakdown", "how much am I spending", "forecast spending", "optimize costs", "reduce spending", "orphaned resources", "rightsize VMs", "cost spike", "reduce storage costs", "AKS cost". DO NOT USE FOR: deploying resources, provisioning, diagnostics, or security audits.
npx skillsauth add microsoft/azcapman azure-costInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Query historical costs, forecast future spending, optimize to reduce waste.
| User Intent | Workflow | |-------------|----------| | Understand current costs | Cost Query | | Reduce costs / find waste | Cost Optimization | | Project future costs | Cost Forecast |
| Property | Value |
|----------|-------|
| Query API | POST {scope}/providers/Microsoft.CostManagement/query?api-version=2023-11-01 |
| Forecast API | POST {scope}/providers/Microsoft.CostManagement/forecast?api-version=2023-11-01 |
| Required Role | Cost Management Reader + Monitoring Reader + Reader (on target scope) |
/subscriptions/<id>/subscriptions/<id>/resourceGroups/<name>/providers/Microsoft.Management/managementGroups/<id>/providers/Microsoft.Billing/billingAccounts/<id>testing
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.
testing
Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription".
tools
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.
development
This skill should be used when the user asks about Azure capacity management, quota operations, or capacity planning for SaaS ISVs running workloads in their own Azure subscriptions under EA or MCA. Also covers AI/GPU model quota and capacity (Azure OpenAI/Foundry TPM, PTU, cross-region capacity discovery), VM capacity reservations, region/SKU availability lookups, capacity-forecasting-scoped cost data (cost forecast/query APIs, not general cost optimization), Azure AI Gateway/APIM rate-limiting and throughput-control policies for AI workloads, and per-service resource/limit/quota reference lookups.