name: azure-copilot
description: Expert knowledge for Azure Copilot development including troubleshooting, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when sizing VMs, generating Bicep/Terraform, configuring Cosmos DB storage, or debugging App Service/VM disks, and other Azure Copilot related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Search (use azure-cognitive-search), Azure AI Bot Service (use azure-bot-service).
compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
metadata:
generated_at: "2026-05-31"
generator: "docs2skills/1.0.0"
Azure Copilot Skill
This skill provides expert guidance for Azure Copilot. Covers troubleshooting, decision making, architecture & design patterns, security, configuration, 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 |
L34-L39 |
Using Copilot to diagnose and resolve Azure App Service/Functions issues and analyze Azure VM disk performance problems, including slow I/O and bottlenecks. |
| Decision Making |
L40-L48 |
Using Copilot to compare options and make cost‑efficient Azure decisions: VM sizing, workload templates, Marketplace offers, storage estate insights, and Load Balancer SKU selection. |
| Architecture & Design Patterns |
L49-L53 |
Using Copilot to design, validate, and troubleshoot Azure network architectures, including connectivity, routing, security, and performance issues across VNets and hybrid setups. |
| Security |
L54-L62 |
Security and access control for Azure Copilot: storage hardening, user/tenant access, agent access policies, attack surface insights, and responsible AI/data use. |
| Configuration |
L63-L67 |
How to set up and configure Azure Cosmos DB as the storage backend for Azure Copilot conversation data, including required settings and integration steps. |
| Integrations & Coding Patterns |
L68-L73 |
Using Azure Copilot to generate and refine infra-as-code and automation: APIM policies, Azure CLI/PowerShell scripts, Kubernetes YAML for AKS, and Terraform/Bicep templates. |
Troubleshooting
Decision Making
Architecture & Design Patterns
Security
Configuration
Integrations & Coding Patterns