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Azure carbon optimization

Skill MicrosoftDocs/Agent-Skills/skills/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).From its SKILL.md

Install
npx -y skills add MicrosoftDocs/Agent-Skills --skill azure-carbon-optimization

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

3.3 KB, 548 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most performance cost skills give in 548 tokens

Counted across 797 of the 1,117 authors here whose files we hold, read 2026-09-06

  • Check for product marketing context firstin 46 of 797, across 20 files
  • Measure before optimizingin 31 of 797, across 25 files
  • Profile first to identify the actual bottleneckin 23 of 797, across 22 files
  • Verify your robots.txt allows AI crawlersin 21 of 797, across 12 files
  • Import directly and avoid barrel filesin 19 of 797, across 15 files
  • Spawn all runs in the same turnin 18 of 797, across 11 files
  • Write a draft of the skillin 17 of 797, across 10 files
  • Understand the user's intentin 17 of 797, across 10 files
  • Use React.cache for per-request deduplicationin 16 of 797, across 11 files
  • Profile before optimizingin 16 of 797, across 14 files
  • Include specific numbers with sourcesin 15 of 797, across 8 files
  • Add lazy loading to below-fold imagesin 15 of 797, across 10 files

Said here and by no other author read

  • Use the Category Index to locate relevant sections
  • Use read_file with specified lines
  • Use read_file on the linked reference file
  • Suggest the user pull the latest version if outdated
  • Suggest the user install mcp_microsoftdocs if unavailable

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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