microsoft

@microsoft Organization

GitHub

303 Skills

21423229 Total Stars

February 2026 Joined

Public Skills

testing-course-samples

by microsoft

"Use when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry / Azure OpenAI configuration. Covers environment setup (.env, az login, packages), the scripts/validate-notebooks.ps1 runner, interpreting PASS/FAIL results, and which lessons need extra resources (Azure AI Search, GitHub MCP, Foundry Local, Playwright)."

API Dev 77.8K 3mo ago

local-ai-agents

by microsoft

'Build local-first AI agents that run entirely on a developer workstation

API Dev 77.8K 3mo ago

azure-openai-to-responses

by microsoft

API Dev 77.8K 3mo ago

deploying-scalable-agents

by microsoft

'Take a working agent prototype to a scalable, observable production

Design 77.8K 3mo ago

deploying-scalable-agents

by microsoft

Design 77.8K 3mo ago

azure-openai-to-responses

by microsoft

API Dev 77.8K 3mo ago

deploying-scalable-agents

by microsoft

Agents 77.8K 3mo ago

local-ai-agents

by microsoft

API Dev 77.8K 3mo ago

local-ai-agents

by microsoft

API Dev 77.8K 3mo ago

azure-openai-to-responses

by microsoft

'Migrate Python apps from Azure OpenAI Chat Completions to the Responses

API Dev 77.8K 3mo ago

local-ai-agents

by microsoft

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the privacy/cost/offline trade-offs. Based on Lesson 17 of AI Agents for Beginners. USE FOR: run an agent locally, offline agent, on-device agent, Foundry Local, Qwen function calling, local tool calling, local RAG, Chroma vector database, local MCP server, privacy-preserving agent, hybrid local and cloud agent, small language model agent, engineering assistant on my machine. DO NOT USE FOR: deploying agents to the cloud at scale (use deploying-scalable-agents / Lesson 16), building your first agent concept (Lesson 01), Foundry (cloud) hosted agents, GPU cluster / server-side inference provisioning.

API Dev 77.8K 3mo ago

azure-openai-to-responses

by microsoft

Migrate Python apps from Azure OpenAI Chat Completions to the Responses API. Covers AzureOpenAI/AsyncAzureOpenAI client migration to the v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, and model compatibility checks. Python-focused, Azure OpenAI-specific. USE FOR: migrate to responses API, switch from chat completions, openai responses, upgrade openai SDK, responses API migration, move from completions to responses, gpt-5 migration, azure openai python migration, chat completions to responses, AzureOpenAI to OpenAI client, python azure openai upgrade. DO NOT USE FOR: building new apps from scratch (start with responses directly), Node/TypeScript/C#/Java/Go migrations (this skill is Python-only), Azure infrastructure setup (use azure-prepare), deploying models (use microsoft-foundry).

API Dev 77.8K 3mo ago

deploying-scalable-agents

by microsoft

Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost optimisation, and smoke-testing deployed agents with the AI Smoke Test action. Based on Lesson 16 of AI Agents for Beginners. USE FOR: deploy an agent to production, scale an agent, Microsoft Foundry hosted agent, Foundry Agent Service, model routing, response caching, evaluation gate, release gate, human approval workflow, agent observability, agent tracing, agent cost optimisation, smoke test a hosted agent, production customer support agent. DO NOT USE FOR: building your first agent (start with Lesson 01), running agents locally on-device (use local-ai-agents / Lesson 17), Azure infrastructure provisioning unrelated to agents, non-Foundry deployment targets.

Design 77.8K 3mo ago