Azure Microsoft Discovery Skill
SkillCloud & infraExpert knowledge for Azure Microsoft Discovery development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Discovery Engine shared sessions, ACR tool images, REST jobs, Log Analytics queries, or Bicep deployments, and other Azure Microsoft Discovery related development tasks.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Azure Microsoft Discovery Skill skill
What this skill tells your AI
The instructions your AI receives, as published by microsoftdocs/agent-skills in skills/azure-microsoft-discovery/SKILL.md and read by ahel’s review.
This skill provides expert guidance for Azure Microsoft Discovery. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. 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), 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:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L37-L42 | Diagnosing and resolving Microsoft Discovery Engine task failures, and locating/using correlation IDs from Activity Logs to debug and trace issues. |
| Best Practices | L43-L49 | Guidance on structuring projects and shared sessions, calibrating trust levels, and applying responsible AI and safety practices when building with Microsoft Discovery. |
| Decision Making | L50-L57 | Guidance on selecting ACR setup, agent types, pricing/billing, and suitable AI models to design and configure Microsoft Discovery agents effectively. |
| Architecture & Design Patterns | L58-L62 | Designing and implementing advanced shared session patterns in Discovery Engine, including multi-user session management, data sharing, and scalable architecture best practices. |
| Limits & Quotas | L63-L68 | Planning capacity and Azure quotas for Microsoft Discovery deployments, plus required naming conventions and rules for Discovery resources. |
| Security | L69-L86 | Securing Discovery: encryption, RBAC and persona roles, managed identities, network hardening (incl. supercomputers), least-privilege access, audit logging, and customer-managed keys. |
| Configuration | L87-L107 | Configuring Discovery workspaces, storage, tools, supercomputers, and data handling, plus querying operational, indexing, and activity logs via Log Analytics and Kusto. |
| Integrations & Coding Patterns | L108-L118 | Integrating Discovery tools/models into workflows, containerizing with Docker, running jobs via REST, and using .NET, Java, and JavaScript SDKs and action scripts. |
| Deployment | L119-L124 | Deploying Discovery infrastructure and tools: network-hardened stacks, Bicep-based deployments, REST provisioning of supercomputer resources, and publishing tool images to Azure Container Registry. |
Troubleshooting
| Topic | URL |
|---|---|
| Troubleshoot Discovery Engine task execution issues | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-debug-task-execution |
| Find Microsoft Discovery correlation IDs in Activity Log | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-get-correlation-id |
Best Practices
| Topic | URL |
|---|---|
| Apply project and shared session practices in Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-projects-investigations |
| Apply responsible AI practices in Microsoft Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-responsible-ai |
| Calibrate trust and basic shared session patterns in Microsoft Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-trust-basic-investigation-patterns |
Decision Making
| Topic | URL |
|---|---|
| Choose and configure Azure Container Registry for Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-azure-container-registry |
| Choose the right Microsoft Discovery agent type | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-discovery-agent-types |
| Understand Microsoft Discovery billing and charges | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-discovery-billing |
| Choose appropriate models for Microsoft Discovery agents | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-select-models-for-agents |
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Apply advanced shared session patterns with Discovery Engine | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-advanced-investigation-patterns |
Limits & Quotas
| Topic | URL |
|---|---|
| Plan Azure quotas and capacity for Microsoft Discovery deployments | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-quota-reservation |
| Apply Microsoft Discovery resource naming rules | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-resource-naming |
Security
Configuration
Integrations & Coding Patterns
| Topic | URL |
|---|---|
| Integrate tools and models into Microsoft Discovery workflows | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-tools-model-integration |
| Create Dockerfiles to containerize Discovery tools | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-create-tool-docker-file |
| Use Discovery Supercomputer REST APIs for job runs | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-run-jobs-supercomputer-rest-api |
| Implement action scripts for Discovery action-based tools | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-write-tool-action-scripts |
| Use .NET SDK packages for Microsoft Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/reference-dotnet-sdks |
| Use Java SDK artifacts for Microsoft Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/reference-java-sdks |
| Use JavaScript SDK packages for Microsoft Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/reference-javascript-sdks |
Deployment
| Topic | URL |
|---|---|
| Deploy and register tools to Microsoft Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-deploy-tool-to-discovery |
| Provision Discovery Supercomputer infrastructure via REST API | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-manage-supercomputers-rest-api |
| Publish Discovery tool images to Azure Container Registry | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-publish-tool-to-acr |
Signals
- GitHub stars
- 740
- Forks
- 119
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
azure-microsoft-discovery- Source
- github.com/microsoftdocs/agent-skills