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

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.

Troubleshooting

Topic	URL
Troubleshoot common Azure Carbon optimization issues	https://learn.microsoft.com/en-us/azure/carbon-optimization/troubleshooting

Security

Topic	URL
Configure RBAC access for Azure Carbon optimization	https://learn.microsoft.com/en-us/azure/carbon-optimization/permissions

Integrations & Coding Patterns

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

Files1

1 files · 18.2 KB

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Overall Score

72/100

Grade

B

Good

Safety

78

Quality

70

Clarity

75

Completeness

65

Summary

This skill provides expert guidance for Azure Carbon Optimization development, covering troubleshooting, security (RBAC configuration), and integrations & coding patterns using the Carbon Service REST API and Python exports. It combines local quick-reference content with remote documentation fetching via mcp_microsoftdocs or fetch_webpage tools, requiring network access to Microsoft Learn.

Detected Capabilities

network-requestdocumentation-fetchremote-api-integrationread-operations

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

azure carbon optimizationcarbon emissions apiazure rbac carboncarbon data exportemissions troubleshooting

Risk Signals

INFO

Remote documentation fetching via mcp_microsoftdocs:microsoft_docs_fetch and fetch_webpage

SKILL.md:Compatibility section, How to Use section

INFO

Network access requirement for documentation retrieval

SKILL.md:Compatibility section

Referenced Domains

External domains referenced in skill content, detected by static analysis.

github.comlearn.microsoft.com

Use Cases

Troubleshooting Azure Carbon Optimization data collection gaps, configuration errors, and inaccurate emissions estimates
Configuring Azure RBAC roles and permissions for secure access to Carbon Optimization resources
Exporting Azure emissions data programmatically using the Carbon Service REST API
Building Python scripts to query and integrate carbon metrics into external systems
Diagnosing and resolving dashboard or reporting issues in Azure Carbon Optimization

Quality Notes

Skill structure follows agentskills.io specification with clear metadata and category index
Well-organized Category Index with line ranges and URL references for navigation
Explicit instructions for agents on when to use read_file vs. mcp tools
Provides both preferred (mcp_microsoftdocs) and fallback (fetch_webpage) options for documentation access
Includes version checking guidance (metadata.generated_at staleness check) to ensure users have current content
Clear scope boundaries: explicitly excludes Azure Cost Management, Impact Reporting, Monitor, and Policy
References are external URLs (learn.microsoft.com) but do not attempt data exfiltration or credential harvesting
Limitation: category index promises line ranges (L31-L45) but the SKILL.md file does not include that content — references external documentation instead

Model: claude-haiku-4-5-20251001Analyzed: Jun 26, 2026

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