Skill-Details
azure-health-bot
Healthcare bot development, safety, consent, and integrations.
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SKILL.md
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--- name: azure-health-bot description: Expert knowledge for Azure Health Bot development including best practices, security, configuration, and integrations & coding patterns. Use when wiring Teams/SMS/WhatsApp channels, embedding web chat, calling external APIs, configuring handoff, or enforcing consent, and other Azure Health Bot related development tasks. Not for Azure AI Bot Service (use azure-bot-service), Azure Communication Services (use azure-communication-services), Azure Functions (use azure-functions). compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation. metadata: generated_at: "2026-08-02" generator: "docs2skills/1.0.0" --- # Azure Health Bot Skill This skill provides expert guidance for Azure Health Bot. Covers best practices, 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](https://github.com/MicrosoftDocs/mcp/blob/main/README.md) 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 | |----------|-------|-------------| | Best Practices | L32-L36 | Guidance on designing robust error-handling flows in Azure Health Bot scenarios, including detecting failures, user-friendly recovery paths, and safe handling of clinical conversation errors. | | Security | L37-L49 | Configuring security, privacy, and compliance: user consent, data access/deletion, encryption keys, abuse safeguards, authentication, secrets management, and portal permissions for Healthcare bots/agents. | | Configuration | L50-L67 | Configuring bot behavior and conversations: welcome/help messages, feedback, interruptions, human/Teams handoff, terms links, and managing scenarios, variables, cards, and versions. | | Integrations & Coding Patterns | L68-L89 | Connecting Health Bot/Agent to channels (Teams, SMS, WhatsApp, Facebook), embedding web chat/voice, calling external APIs/OpenAPI, telemetry, auth, management APIs, and proactive scenario invocation | ### Best Practices | Topic | URL | |-------|-----| | Design error handling flows in healthcare bot scenarios | https://learn.microsoft.com/en-us/azure/health-bot/errorhandling | ### Security | Topic | URL | |-------|-----| | Configure end-user consent and compliance in healthcare bots | https://learn.microsoft.com/en-us/azure/health-bot/bot_docs/consent | | Enable end-user deletion of personal data in healthcare bots | https://learn.microsoft.com/en-us/azure/health-bot/bot_docs/deleting_data | | Allow users to view and export personal data from healthcare bots | https://learn.microsoft.com/en-us/azure/health-bot/bot_docs/viewing_data | | Configure customer-managed encryption keys for healthcare bots | https://learn.microsoft.com/en-us/azure/health-bot/cmk | | Monitor and manage abuse in generative healthcare scenarios | https://learn.microsoft.com/en-us/azure/health-bot/copilot/abuse-monitoring | | Configure health safeguards for generative healthcare agents | https://learn.microsoft.com/en-us/azure/health-bot/copilot/safeguards | | Configure end-user authentVollständige Quelle auf GitHub lesen (öffnet externe Seite)