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Provides expert guidance for Azure Carbon Optimization development: troubleshooting, security, integrations with Carbon Service REST API and Python exports. Use for emissions data quality, RBAC roles, or dashboard issues.
How this skill is triggered — by the user, by Claude, or both
Slash command
/azure-agent-skills:azure-carbon-optimizationThe summary Claude sees in its skill listing — used to decide when to auto-load this 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.
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 |
npx claudepluginhub microsoftdocs/agent-skills --plugin azure-agent-skillsExpert guidance for designing, assessing, and optimizing Azure workloads using Azure Well-Architected Framework. Covers design review checklists, recommendations, tradeoffs, and workload patterns for AI, HPC, SaaS, AVD, and mission-critical systems.
Routes Azure tasks to the right specialist agent from a catalog. Classifies tasks into domains (architecture, containers, database, etc.) and dispatches single agents or parallel teams. Does not answer Azure questions itself.
Analyzes Azure subscriptions to identify and quantify cost savings via orphaned resource cleanup, VM rightsizing, utilization metrics, and optimization recommendations.