Skills from clawhub.ai/thegovind

Azure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching. Triggers: "azure-identity", "DefaultAzureCredential", "authentication", "managed identity", "service principal", "credential".

This skill documents building Azure AI Foundry agents and demonstrates SDK patterns, hosted tools, threading, and file uploads. It instructs use of credentials (`AzureCliCredential`, `AZURE_AI_PROJECT_ENDPOINT`) and explicit network endpoints (e.g., `https://learn.microsoft.com/api/mcp`).

This skill documents the Azure AI Voice Live SDK and provides Python examples for real-time bidirectional audio applications. Example code reads `AZURE_COGNITIVE_SERVICES_KEY` and connects to `https://eastus.api.cognitive.microsoft.com`, enabling network calls and use of credentials.

This skill automates Azure Container Apps deployment with `azd`, Bicep templates (`infra/main.bicep`) and `azure.yaml`, and manages env files under `.azure/<env>/.env`. It includes hook scripts that run shell `az`/`azd` commands, manages secrets via `azd env set`, and references external endpoints like `https://my-openai.openai.azure.com`.

This skill documents the Azure AI Agents Python SDK for creating agents, threads, runs, and using tools like `CodeInterpreterTool`. It instructs reading `PROJECT_ENDPOINT` and `MODEL_DEPLOYMENT_NAME`, connecting to `https://<resource>.services.ai.azure.com/api/projects/<project>`, and enabling code execution via `CodeInterpreterTool`.

This skill provides Azure AI Evaluation SDK documentation and a CLI `scripts/run_batch_evaluation.py` for running batch evaluations. It reads `AZURE_OPENAI_API_KEY`, `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_DEPLOYMENT`, and `AIPROJECT_CONNECTION_STRING` and makes network calls to `https://<resource>.openai.azure.com`.

Azure Blob Storage SDK for Python. Use for uploading, downloading, listing blobs, managing containers, and blob lifecycle. Triggers: "blob storage", "BlobServiceClient", "ContainerClient", "BlobClient", "upload blob", "download blob".

This skill provides an Azure AI Transcription Python client for real-time and batch speech-to-text transcription. It reads `TRANSCRIPTION_ENDPOINT` and `TRANSCRIPTION_KEY` from the environment and uses `https://<resource>.cognitiveservices.azure.com` and `https://<storage>/audio.wav` for network calls.

Azure Key Vault SDK for Python. Use for secrets, keys, and certificates management with secure storage. Triggers: "key vault", "SecretClient", "KeyClient", "CertificateClient", "secrets", "encryption keys".

This skill documents the Azure Cosmos DB Python SDK and ships a CLI (`scripts/setup_cosmos_container.py`) to create/configure containers. It reads `COSMOS_ENDPOINT` and `COSMOS_KEY`, connects to `https://<account>.documents.azure.com:443/`, and includes runnable commands like `python setup_cosmos_container.py` and `pip install azure-cosmos`.

This skill documents the Azure AI Projects Python SDK for building and managing Foundry agents, tools, datasets, and evaluations. It reads environment variables (e.g., `AZURE_AI_PROJECT_ENDPOINT`) and retrieves connection/dataset credentials, and it makes network calls to `https://<resource>.services.ai.azure.com/api/projects/<project>`.

This skill generates podcast-style audio narratives using Azure OpenAI Realtime and includes backend `scripts/pcm_to_wav.py` and frontend playback examples. It requires `AZURE_OPENAI_AUDIO_API_KEY` and `AZURE_OPENAI_AUDIO_ENDPOINT` and connects to `wss://.../openai/v1` for streaming audio.