Azure Microsoft Discovery Skill
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-L41 | Diagnosing and fixing Discovery Engine task execution failures, including common error patterns, configuration issues, and steps to restore successful task runs. |
| Best Practices | L42-L49 | Best practices for structuring projects and shared sessions, applying responsible AI, calibrating trust and safety patterns, and planning tool capabilities and compute for Discovery. |
| Decision Making | L50-L57 | Guidance on selecting registries, agent types, billing options, and LLM models for Microsoft Discovery, including configuration, cost implications, and matching models/agents to workloads. |
| 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-L82 | Security and compliance for Discovery: encryption at rest, customer-managed keys, managed identities, RBAC/persona roles, network/private access, and audit logging configuration. |
| Configuration | L83-L103 | Configuring Discovery workspaces, supercomputers, storage, tools, data handling, and querying operational/indexing logs via Log Analytics and Kusto. |
| Integrations & Coding Patterns | L104-L111 | Patterns and APIs for integrating tools/models into Discovery workflows, containerizing tools with Docker, writing action scripts, and submitting/monitoring Supercomputer jobs via REST |
| Deployment | L112-L118 | Deploying Microsoft Discovery: secure stack setup, provisioning supercomputer infra via REST, registering tools, 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 |
Best Practices
| Topic | URL |
|---|---|
| Apply projects and shared session best practices in Microsoft 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 |
| Plan tool functionality and compute for Discovery tools | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-plan-tool-requirements |
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 appropriate agent types in Microsoft Discovery and Discovery app | 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 LLM models for 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 |
| Submit and monitor Discovery Supercomputer jobs with REST APIs | 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 |
Deployment
| Topic | URL |
|---|---|
| Deploy a fully network-hardened Microsoft Discovery stack | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-deploy-network-hardened-stack |
| 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 |