#39

Globales Ranking · von 600 Skills

azure-cost AI Agent Skill

Quellcode ansehen: microsoft/azure-skills

Safe

Installation

npx skills add microsoft/azure-skills --skill azure-cost

66.5K

Installationen

Azure Cost Management Skill

Unified skill for all Azure cost management tasks: querying historical costs, forecasting future spending, and optimizing to reduce waste.

When to Use This Skill

Activate this skill when user wants to:

  • Query or analyze Azure costs (how much am I spending, show my bill, cost breakdown)
  • Break down costs by service, resource, location, or tag
  • Analyze cost trends over time
  • Forecast future Azure spending or project end-of-month costs
  • Optimize Azure costs, reduce spending, or find savings
  • Find orphaned or unused resources
  • Rightsize Azure VMs, containers, or services
  • Generate cost optimization reports

Quick Reference

Property Value
Query API Endpoint POST {scope}/providers/Microsoft.CostManagement/query?api-version=2023-11-01
Forecast API Endpoint POST {scope}/providers/Microsoft.CostManagement/forecast?api-version=2023-11-01
MCP Tools azure__documentation, azure__extension_cli_generate, azure__get_azure_bestpractices
CLI az rest, az monitor metrics list, az resource list
Required Role Cost Management Reader + Monitoring Reader + Reader on scope

MCP Tools

Tool Description Parameters When to Use
azure__documentation Search Azure documentation query (Required): search terms Research Cost Management API parameters and options
azure__extension_cli_generate Generate Azure CLI commands intent (Required): task description, cli-type (Required): "az" Construct az rest commands for cost queries
azure__get_azure_bestpractices Get Azure best practices intent (Required): optimization context Inform query design with cost management best practices
azure__extension_azqr Run Azure Quick Review compliance scan subscription (Required): subscription ID, resource-group (Optional): resource group name Find orphaned resources and cost optimization opportunities
azure__aks Azure Kubernetes Service operations varies by sub-command AKS cost analysis: list clusters, get node pools, inspect configuration

💡 Tip: Prefer MCP tools over direct CLI commands. Use az rest only when MCP tools don't cover the specific operation.


Routing

Read the user's request and follow the appropriate workflow below.

User Intent Workflow Example Prompts
Understand current costs Cost Query Workflow "how much am I spending", "cost by service", "show my bill"
Reduce costs / find waste Cost Optimization Workflow "optimize costs", "find orphaned resources", "reduce spending"
Project future costs Cost Forecast Workflow "forecast costs", "end of month estimate", "how much will I spend"
Full cost picture All three workflows combined "give me the full picture of my Azure costs"

Important: When optimizing costs, always present the total bill and cost breakdown alongside optimization recommendations.


Scope Reference (Shared Across All Workflows)

Scope URL Pattern
Subscription /subscriptions/<subscription-id>
Resource Group /subscriptions/<subscription-id>/resourceGroups/<resource-group-name>
Management Group /providers/Microsoft.Management/managementGroups/<management-group-id>
Billing Account /providers/Microsoft.Billing/billingAccounts/<billing-account-id>
Billing Profile /providers/Microsoft.Billing/billingAccounts/<billing-account-id>/billingProfiles/<billing-profile-id>

💡 Tip: These are scope paths only — not complete URLs. Combine with the API endpoint and version.


Part 1: Cost Query Workflow

For the full cost query workflow (scope selection, report types, timeframes, dataset configuration, API calls, pagination, guardrails, examples, and error handling), see:

📄 Cost Query Workflow


Part 2: Cost Optimization Workflow

For the full cost optimization workflow (prerequisites, best practices, Redis/AKS-specific analysis, Azure Quick Review, resource discovery, cost queries, pricing validation, utilization metrics, and report generation), see:

📄 Cost Optimization Workflow


Part 3: Cost Forecast Workflow

For the full cost forecast workflow (scope selection, time period rules, dataset configuration, forecast-specific options, API calls, response interpretation, guardrails, and error handling), see:

📄 Cost Forecast Workflow


Data Classification

  • ACTUAL DATA = Retrieved from Azure Cost Management API
  • ACTUAL METRICS = Retrieved from Azure Monitor
  • VALIDATED PRICING = Retrieved from official Azure pricing pages
  • ESTIMATED SAVINGS = Calculated based on actual data and validated pricing

Best Practices

  • Always query actual costs first — never estimate or assume
  • Always present the total bill alongside optimization recommendations
  • Validate pricing from official sources — account for free tiers
  • Use REST API for cost queries (more reliable than az costmanagement query)
  • Always include the ClientType: GitHubCopilotForAzure header on all Cost Management API requests (--headers "ClientType=GitHubCopilotForAzure" in az rest)
  • Save audit trail — include all queries and responses
  • Include Azure Portal links for all resources
  • For costs < $10/month, emphasize operational improvements over financial savings
  • Never execute destructive operations without explicit approval
  • On 429 responses, check all x-ms-ratelimit-microsoft.costmanagement-*-retry-after headers (qpu-retry-after, entity-retry-after, tenant-retry-after), wait for the longest value, and do not retry until that duration has elapsed. The per-scope limit (4 requests/minute) is the most restrictive.

Common Pitfalls

  • Assuming costs: Always query actual data from Cost Management API
  • Ignoring free tiers: Many services have generous allowances
  • Using wrong date ranges: 30 days for costs, 14 days for utilization
  • Not showing the bill: Always present cost breakdown alongside optimization recommendations
  • Cost query failures: Use az rest with JSON body, not az costmanagement query

Safety Requirements

  • Get approval before deleting resources
  • Test changes in non-production first
  • Provide dry-run commands for validation
  • Include rollback procedures

SDK Quick References

  • Redis Management: .NET

Installationen

Installationen 66.5K
Globales Ranking #39 von 600

Sicherheitsprüfung

ath Safe
socket Safe
Warnungen: 0 Bewertung: 90
snyk Low
zeroleaks Safe
Bewertung: 93
EU EU-Hosted Inference API

Power your AI Agents with the best open-source models.

Drop-in OpenAI-compatible API. No data leaves Europe.

Explore Inference API

GLM

GLM 5

$1.00 / $3.20

per M tokens

Kimi

Kimi K2.5

$0.60 / $2.80

per M tokens

MiniMax

MiniMax M2.5

$0.30 / $1.20

per M tokens

Qwen

Qwen3.5 122B

$0.40 / $3.00

per M tokens

So verwenden Sie diesen Skill

1

Install azure-cost by running npx skills add microsoft/azure-skills --skill azure-cost in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

2

Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

3

Der Skill verbessert das Verständnis Ihres Agenten für azure-cost, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

EU Made in Europe

Chat with 100+ AI Models in one App.

Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, GLM-5, Kimi K2.5 and many more.

Kundensupport