> azure-carbon-optimization

Expert knowledge for Azure Carbon Optimization development including troubleshooting, security, and integrations & coding patterns. Use when using Carbon Service REST API, Python exports, RBAC roles, emissions data quality, or dashboard issues, and other Azure Carbon Optimization related development tasks. Not for Azure Cost Management (use azure-cost-management), Azure Impact Reporting (use azure-impact-reporting), Azure Monitor (use azure-monitor), Azure Policy (use azure-policy).

fetch
$curl "https://skillshub.wtf/MicrosoftDocs/Agent-Skills/azure-carbon-optimization?format=md"
SKILL.mdazure-carbon-optimization

Azure Carbon Optimization Skill

This skill provides expert guidance for Azure Carbon Optimization. Covers troubleshooting, security, and integrations & coding patterns. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

  • Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
  • Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

CategoryLinesDescription
TroubleshootingL31-L35Diagnosing and resolving common Azure Carbon Optimization issues, including data collection gaps, configuration problems, inaccurate emissions estimates, and troubleshooting dashboards or reports.
SecurityL36-L40Setting up Azure RBAC roles and permissions so users and apps can securely access and manage Azure Carbon Optimization resources.
Integrations & Coding PatternsL41-L45Using the Carbon Service REST API and Python scripts to programmatically export Azure emissions data, authenticate, query, and integrate carbon metrics into external systems.

Troubleshooting

TopicURL
Troubleshoot common Azure Carbon optimization issueshttps://learn.microsoft.com/en-us/azure/carbon-optimization/troubleshooting

Security

TopicURL
Configure RBAC access for Azure Carbon optimizationhttps://learn.microsoft.com/en-us/azure/carbon-optimization/permissions

Integrations & Coding Patterns

TopicURL
Use Carbon Service REST API to export emissions datahttps://learn.microsoft.com/en-us/azure/carbon-optimization/api-export-data
Export Azure carbon data via Python REST integrationhttps://learn.microsoft.com/en-us/azure/carbon-optimization/tutorial-export-python

> related_skills --same-repo

> microsoft-foundry

Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI, vector search/RAG, Sora video, realtime audio, or MCP/LangChain APIs, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic),

> microsoft-foundry-tools

Expert knowledge for Microsoft Foundry Tools (aka Azure AI services, Azure Cognitive Services) development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Understanding analyzers, Content Moderator APIs, Foundry containers, VNet/Key Vault security, or Entra auth, and other Microsoft Foundry Tools related development tasks. Not for Microsoft Foundry (use micr

> microsoft-foundry-local

Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including troubleshooting, best practices, decision making, configuration, and integrations & coding patterns. Use when using Foundry Local CLI, chat/transcription APIs, tools, OpenAI/LangChain clients, or upgrading legacy SDKs, and other Microsoft Foundry Local related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foun

> microsoft-foundry-classic

Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with RAG, tools, evaluators, Azure OpenAI, VNet/Private Link, or CI/CD deployments, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry

┌ stats

installs/wk0
░░░░░░░░░░
github stars525
██████████
first seenMar 17, 2026
└────────────

┌ repo

MicrosoftDocs/Agent-Skills
by MicrosoftDocs
└────────────

┌ tags

└────────────