.agents/skills/azure-ai/SKILL.md
Use for Azure AI: Search, Speech, Foundry, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, AI agents, prompt flows, OCR. USE FOR: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, AI agent, prompt flow, Foundry, OCR, convert text to speech. DO NOT USE FOR: Function apps/Functions (use azure-functions), databases (azure-postgres/azure-kusto), resources.
npx skillsauth add Tyler-R-Kendrick/agent-skills azure-aiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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| Service | Use When | MCP Tools | CLI |
|---------|----------|-----------|-----|
| AI Search | Full-text, vector, hybrid search | azure__search | az search |
| Speech | Speech-to-text, text-to-speech | azure__speech | - |
| Foundry | AI models, agents, prompt flows | azure__foundry | az ml |
| OpenAI | GPT models, embeddings, DALL-E | - | az cognitiveservices |
| Document Intelligence | Form extraction, OCR | - | - |
When Azure MCP is enabled:
azure__search with command search_index_list - List search indexesazure__search with command search_index_get - Get index detailsazure__search with command search_query - Query search indexazure__speech with command speech_transcribe - Speech to textazure__speech with command speech_synthesize - Text to speechazure__foundry with command foundry_model_list - List AI modelsazure__foundry with command foundry_deployment_list - List deploymentsazure__foundry with command foundry_agent_list - List AI agentsIf Azure MCP is not enabled: Run /azure:setup or enable via /mcp.
| Feature | Description | |---------|-------------| | Full-text search | Linguistic analysis, stemming | | Vector search | Semantic similarity with embeddings | | Hybrid search | Combined keyword + vector | | AI enrichment | Entity extraction, OCR, sentiment |
| Feature | Description | |---------|-------------| | Speech-to-text | Real-time and batch transcription | | Text-to-speech | Neural voices, SSML support | | Speaker diarization | Identify who spoke when | | Custom models | Domain-specific vocabulary |
| Feature | Description | |---------|-------------| | Model catalog | GPT-4, Llama, Mistral, custom | | AI agents | Multi-turn, tool calling, RAG | | Prompt flow | Orchestration, evaluation | | Fine-tuning | Custom model training |
For deep documentation on specific services:
tools
Use when building or maintaining a design system — the coordinated set of design tokens, component libraries, documentation, and tooling that ensures visual and behavioral consistency across products. USE FOR: design system architecture, choosing token formats vs component frameworks, connecting Figma to code, design-to-development workflows, multi-platform consistency DO NOT USE FOR: specific token authoring (use design-tokens), Figma workflows (use figma), component cataloging (use storybook), token transformation (use style-dictionary), cross-framework components (use mitosis)
tools
Use when implementing the x402 protocol for HTTP-native micropayments. Covers server middleware, client payment flows, facilitator integration, and stablecoin payments for APIs and AI agents. USE FOR: API micropayments, monetizing endpoints, stablecoin HTTP payments, automated agent payments for API access DO NOT USE FOR: full commerce flows with cart/checkout (use ap2), agent communication (use a2a), tool integration (use mcp)
tools
Use when implementing or integrating with the Model Context Protocol (MCP) for AI tool servers, resources, prompts, and context management. USE FOR: building MCP tool servers, exposing resources to agents, prompt templates, connecting agents to external APIs DO NOT USE FOR: agent-to-agent communication (use a2a), interactive UI rendering (use mcp-apps), agent payments (use x402 or ap2)
tools
Use when building MCP Apps that serve interactive UI from MCP servers. Covers the ui:// URI scheme, HTML rendering in sandboxed iframes, and bidirectional communication between UI and host. USE FOR: rich UI in agent conversations, interactive dashboards from MCP servers, sandboxed iframe rendering DO NOT USE FOR: basic tool responses without UI (use mcp), agent communication (use a2a), full web applications