skills/azure-carbon-optimization/SKILL.md
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).
npx skillsauth add microsoftdocs/agent-skills azure-carbon-optimizationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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.
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| Category | Lines | Description | |----------|-------|-------------| | Troubleshooting | L31-L35 | Diagnosing and resolving common Azure Carbon Optimization issues, including data collection gaps, configuration problems, inaccurate emissions estimates, and troubleshooting dashboards or reports. | | Security | L36-L40 | Setting up Azure RBAC roles and permissions so users and apps can securely access and manage Azure Carbon Optimization resources. | | Integrations & Coding Patterns | L41-L45 | Using the Carbon Service REST API and Python scripts to programmatically export Azure emissions data, authenticate, query, and integrate carbon metrics into external systems. |
| Topic | URL | |-------|-----| | Troubleshoot common Azure Carbon optimization issues | https://learn.microsoft.com/en-us/azure/carbon-optimization/troubleshooting |
| Topic | URL | |-------|-----| | Configure RBAC access for Azure Carbon optimization | https://learn.microsoft.com/en-us/azure/carbon-optimization/permissions |
| Topic | URL | |-------|-----| | Use Carbon Service REST API to export emissions data | https://learn.microsoft.com/en-us/azure/carbon-optimization/api-export-data | | Export Azure carbon data via Python REST integration | https://learn.microsoft.com/en-us/azure/carbon-optimization/tutorial-export-python |
tools
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 IQ retrieval, Entra RBAC, Azure OpenAI, M365/Teams publishing, or MCP tools, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
tools
Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including best practices, configuration, and integrations & coding patterns. Use when compiling HF models with Olive, managing local models via CLI, or building chat, embeddings, or transcription apps, and other Microsoft Foundry Local related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Tools (use microsoft-foundry-tools), Azure Local (use azure-local).
tools
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 configuring Foundry agents, routing Azure OpenAI models, integrating tools/RAG, securing endpoints, or deploying hubs, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
development
Expert knowledge for Azure Web PubSub development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using WebSockets/MQTT, Socket.IO, Functions bindings, geo-replication, or Premium autoscale in Web PubSub, and other Azure Web PubSub related development tasks. Not for Azure SignalR Service (use azure-signalr-service), Azure Event Hubs (use azure-event-hubs), Azure Service Bus (use azure-service-bus), Azure Relay (use azure-relay).