From azure-agent-skills
Guides Azure Microsoft Discovery development with troubleshooting, best practices, architecture, security, deployment, and integrations. Build workspaces, shared sessions, supercomputer jobs, Docker tools, and Log Analytics queries.
How this skill is triggered — by the user, by Claude, or both
Slash command
/azure-agent-skills:azure-microsoft-discoveryThe summary Claude sees in its skill listing — used to decide when to auto-load this 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.
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.
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:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| 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. |
| Topic | URL |
|---|---|
| Troubleshoot Discovery Engine task execution issues | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-debug-task-execution |
| 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 |
| 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 |
| Topic | URL |
|---|---|
| Apply advanced shared session patterns with Discovery Engine | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-advanced-investigation-patterns |
| 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 |
| 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 |
| 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 |
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