From azure-agent-skills
Provides expert guidance for Azure AI Immersive Reader development: best practices, limits/quota, security configuration (Entra auth), and coding patterns for JS SDK integration, read-aloud/translation tuning, and user preference storage.
How this skill is triggered — by the user, by Claude, or both
Slash command
/azure-agent-skills:azure-immersive-readerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill provides expert guidance for Azure AI Immersive Reader. Covers best practices, limits & quotas, security, configuration, and integrations & coding patterns. It combines local quick-reference content with remote documentation fetching capabilities.
This skill provides expert guidance for Azure AI Immersive Reader. Covers best practices, limits & quotas, security, configuration, and integrations & coding patterns. 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 |
|---|---|---|
| Best Practices | L33-L37 | Guidance on improving Immersive Reader performance by caching authentication tokens, including token reuse patterns and reducing auth overhead. |
| Limits & Quotas | L38-L42 | Supported languages and feature availability for Immersive Reader (e.g., which languages work with read-aloud, translation, and other capabilities). |
| Security | L43-L49 | Configuring Immersive Reader security: creating the resource with Entra auth, managing Entra role assignments, and setting cookie policy and user consent. |
| Configuration | L50-L56 | Configuring Immersive Reader behavior: read-aloud voice/speed, translation languages and behavior, and storing/managing per-user reading and language preferences. |
| Integrations & Coding Patterns | L57-L66 | Implementing Immersive Reader in web/iOS apps: launch flows, JS SDK usage, HTML/MathML prep, custom buttons, multi-resource setups, and Vision Read integration. |
| Topic | URL |
|---|---|
| Cache Immersive Reader auth tokens for performance | https://learn.microsoft.com/en-us/azure/ai-services/immersive-reader/how-to-cache-token |
| Topic | URL |
|---|---|
| Check supported languages for Immersive Reader features | https://learn.microsoft.com/en-us/azure/ai-services/immersive-reader/language-support |
| Topic | URL |
|---|---|
| Create Immersive Reader resource and configure Entra auth | https://learn.microsoft.com/en-us/azure/ai-services/immersive-reader/how-to-create-immersive-reader |
| Configure Immersive Reader cookie policy and consent | https://learn.microsoft.com/en-us/azure/ai-services/immersive-reader/how-to/set-cookie-policy |
| Update Immersive Reader Entra role assignments for security | https://learn.microsoft.com/en-us/azure/ai-services/immersive-reader/security-how-to-update-role-assignment |
| Topic | URL |
|---|---|
| Configure Immersive Reader Read Aloud options | https://learn.microsoft.com/en-us/azure/ai-services/immersive-reader/how-to-configure-read-aloud |
| Configure translation settings in Immersive Reader | https://learn.microsoft.com/en-us/azure/ai-services/immersive-reader/how-to-configure-translation |
| Store and manage Immersive Reader user preferences | https://learn.microsoft.com/en-us/azure/ai-services/immersive-reader/how-to-store-user-preferences |
npx claudepluginhub microsoftdocs/agent-skills --plugin azure-agent-skillsExpert guidance for Azure AI Document Intelligence: troubleshooting, best practices, decision-making, architecture, deployment, security, and coding patterns. Use when working with AnalyzeDocument APIs, custom models, containers, or Logic Apps/Functions.
Provides guidance on Azure OpenAI Service 2025 models like GPT-5 series, GPT-4.1, o3/o4-mini reasoning, Sora video generation, image/audio models, and Azure CLI deployment.
Uses MCP tools and SDKs for Azure AI: Search (vector/hybrid queries), Speech (STT/TTS/transcription), OpenAI models, Document Intelligence (OCR).