npx skills add https://github.com/microsoft/github-copilot-for-azure --skill azure-aiHow Azure Ai fits into a Paperclip company.
Azure Ai drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.
Pre-configured AI company — 18 agents, 18 skills, one-time purchase.
SKILL.md71 linesExpandCollapse
---name: azure-aidescription: "Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech."license: MITmetadata: author: Microsoft version: "1.0.1"--- # Azure AI Services ## Services | 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` | - || OpenAI | GPT models, embeddings, DALL-E | - | `az cognitiveservices` || Document Intelligence | Form extraction, OCR | - | - | ## MCP Server (Preferred) When Azure MCP is enabled: ### AI Search- `azure__search` with command `search_index_list` - List search indexes- `azure__search` with command `search_index_get` - Get index details- `azure__search` with command `search_query` - Query search index ### Speech- `azure__speech` with command `speech_transcribe` - Speech to text- `azure__speech` with command `speech_synthesize` - Text to speech **If Azure MCP is not enabled:** Run `/azure:setup` or enable via `/mcp`. ## AI Search Capabilities | 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 | ## Speech Capabilities | 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 | ## SDK Quick References For programmatic access to these services, see the condensed SDK guides: - **AI Search**: [Python](references/sdk/azure-search-documents-py.md) | [TypeScript](references/sdk/azure-search-documents-ts.md) | [.NET](references/sdk/azure-search-documents-dotnet.md)- **OpenAI**: [.NET](references/sdk/azure-ai-openai-dotnet.md)- **Vision**: [Python](references/sdk/azure-ai-vision-imageanalysis-py.md) | [Java](references/sdk/azure-ai-vision-imageanalysis-java.md)- **Transcription**: [Python](references/sdk/azure-ai-transcription-py.md)- **Translation**: [Python](references/sdk/azure-ai-translation-text-py.md) | [TypeScript](references/sdk/azure-ai-translation-ts.md)- **Document Intelligence**: [.NET](references/sdk/azure-ai-document-intelligence-dotnet.md) | [TypeScript](references/sdk/azure-ai-document-intelligence-ts.md)- **Content Safety**: [Python](references/sdk/azure-ai-contentsafety-py.md) | [TypeScript](references/sdk/azure-ai-contentsafety-ts.md) | [Java](references/sdk/azure-ai-contentsafety-java.md) ## Service Details For deep documentation on specific services: - AI Search indexing and queries -> [Azure AI Search documentation](https://learn.microsoft.com/azure/search/search-what-is-azure-search)- Speech transcription patterns -> [Azure AI Speech documentation](https://learn.microsoft.com/azure/ai-services/speech-service/overview)Analyze Test Run
Install Analyze Test Run skill for Claude Code from microsoft/github-copilot-for-azure.
Appinsights Instrumentation
Microsoft's official guidance for adding Azure Application Insights telemetry to web applications. Covers SDK setup patterns for ASP.NET Core, Node.js, and Pyth
Appinsights Instrumentation
The appinsights-instrumentation skill provides developers with guidance, reference materials, and best practices for instrumenting webapps with Azure Applicatio