SCENARIO
智能体与自动化 Skills
Agents & Automation
Skill、MCP、智能体与工作流自动化
智能体与自动化 的 Skills 39464
microsoft-docs
暂无简介
microsoft-docs
查詢官方 Microsoft 文件，以尋找涵蓋 Azure、.NET、Agent Framework、Aspire、VS Code、GitHub 等的概念、教學和程式碼範例。預設使用 Microsoft Learn MCP，對於存在於 learn.microsoft.com 以外的內容，則使用 Context7 和 Aspire MCP。
microsoft-docs
查詢官方微軟文件，以尋找涵蓋 Azure、.NET、代理框架、Aspire、VS Code、GitHub 等的概念、教學和範例程式碼。預設使用 Microsoft Learn MCP，對於那些不在 learn.microsoft.com 上的內容，則使用 Context7 和 Aspire MCP。
microsoft-docs
暂无简介
microsoft-docs
Truy vấn tài liệu chính thức của Microsoft để tìm các khái niệm, hướng dẫn và ví dụ mã trên Azure, .NET, Agent Framework, Aspire, VS Code, GitHub và nhiều hơn nữa. Sử dụng Microsoft Learn MCP làm mặc định, với Context7 và Aspire MCP cho nội dung nằm ngoài learn.microsoft.com.
microsoft-docs
暂无简介
microsoft-docs
暂无简介
microsoft-docs
Azure, .NET, Agent Framework, Aspire, VS Code, GitHub ve daha fazlası gibi Microsoft resmi belgelerinde kavramlar, eğitimler ve kod örnekleri arayın. Varsayılan olarak Microsoft Learn MCP'yi kullanır, learn.microsoft.com dışındaki içerikler için Context7 ve Aspire MCP'yi kullanır.
testing-course-samples
Gamitin kapag hiniling na i-validate, subukan, smoke-test, o patakbuhin ang notebook ng kurso at mga halimbawa ng code laban sa isang live na Microsoft Foundry / Azure OpenAI na configuration. Saklaw nito ang pag-setup ng kapaligiran (.env, az login, mga package), ang scripts/validate-notebooks.ps1 runner, ang pagpapakahulugan ng mga resulta na PASS/FAIL, at kung aling mga aralin ang nangangailangan ng karagdagang mga mapagkukunan (Azure AI Search, GitHub MCP, Foundry Local, Playwright).
microsoft-docs
Magsagawa ng pagsasaliksik sa opisyal na dokumentasyon ng Microsoft upang makahanap ng mga konsepto, tutorial, at mga halimbawa ng code sa Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, at iba pa. Ginagamit ang Microsoft Learn MCP bilang default, kasama ang Context7 at Aspire MCP para sa mga nilalamang nasa labas ng learn.microsoft.com.
local-ai-agents
Bumuo ng mga local-first AI agents na tumatakbo nang buong-buo sa isang developer workstation gamit ang Microsoft Foundry Local at Qwen function-calling models. Saklaw nito ang Small Language Models (SLMs), ang OpenAI-compatible na lokal na endpoint, sandboxed local tools, lokal na RAG gamit ang Chroma, lokal na MCP servers, hybrid cloud/local routing, at ang privacy/cost/offline trade-offs. Batay sa Lesson 17 ng AI Agents for Beginners. GAMITIN PARA SA: pagpapatakbo ng agent nang lokal, offline agent, on-device agent, Foundry Local, Qwen function calling, local tool calling, lokal na RAG, Chroma vector database, lokal na MCP server, privacy-preserving agent, hybrid local at cloud agent, small language model agent, engineering assistant sa aking makina. HUWAG GAMITIN PARA SA: pag-deploy ng mga agents sa cloud nang malakihan (gamitin ang deploying-scalable-agents / Lesson 16), paggawa ng iyong unang agent concept (Lesson 01), Foundry (cloud) hosted agents, GPU cluster / server-side inference provisioning.
deploying-scalable-agents
Dalhin ang isang gumaganang prototype ng agent sa isang scalable, observable na production deployment sa Microsoft Foundry. Saklaw nito ang mga deployment pattern (client-hosted, hosted agents, agent workflows), ang lifecycle ng agent, model routing, response caching, evaluation gates, human-in-the-loop approval, observability gamit ang OpenTelemetry, cost optimisation, at smoke-testing ng mga deployed na agent gamit ang AI Smoke Test action. Batay sa Lesson 16 ng AI Agents for Beginners. GAMITIN PARA SA: pag-deploy ng agent sa production, pag-scale ng 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 ng hosted agent, production customer support agent. HUWAG GAMITIN PARA SA: pagbuo ng iyong unang agent (simulan sa Lesson 01), pagpapatakbo ng mga agent nang lokal sa device (gamitin ang local-ai-agents / Lesson 17), Azure infrastructure provisioning na hindi kaugnay sa mga agent, mga deployment target na hindi sa Foundry.
testing-course-samples
ใช้เมื่อต้องการตรวจสอบความถูกต้อง ทดสอบ ทดสอบแบบ smoke-test หรือรันโน้ตบุ๊กและตัวอย่างโค้ดของคอร์สกับการตั้งค่า Microsoft Foundry / Azure OpenAI ที่ใช้งานจริง ครอบคลุมการตั้งค่าสภาพแวดล้อม (.env, az login, แพ็กเกจ), ตัวรัน scripts/validate-notebooks.ps1, การตีความผลลัพธ์ PASS/FAIL และบทเรียนใดที่ต้องการทรัพยากรเสริม (เช่น Azure AI Search, GitHub MCP, Foundry Local, Playwright)
microsoft-docs
ค้นหาข้อมูลในเอกสารอย่างเป็นทางการของ Microsoft เพื่อค้นหาคอนเซปต์ บทเรียน และตัวอย่างโค้ดในหัวข้อต่างๆ เช่น Azure, .NET, Agent Framework, Aspire, VS Code, GitHub และอื่นๆ ใช้ Microsoft Learn MCP เป็นค่าเริ่มต้น พร้อมทั้ง Context7 และ Aspire MCP สำหรับเนื้อหาที่อยู่นอก learn.microsoft.com
microsoft-docs
暂无简介
microsoft-docs
Azure, .NET, Agent Framework, Aspire, VS Code, GitHub மற்றும் பலவற்றைக்குழுவாகக் கொண்ட அதிகாரப்பூர்வ Microsoft ஆவணங்களைக் கேள்வி செய்து கொள்கின்றது. பொதுவாக Microsoft Learn MCP ஐ பயன்படுத்துகிறது, மேலும் learn.microsoft.com வெளியே வசிக்கும் உள்ளடக்கத்திற்காக Context7 மற்றும் Aspire MCP ஐ பயன்படுத்துகிறது.
testing-course-samples
Tumia wakati unapoombwa kuthibitisha, kujaribu, kufanya mtihani wa haraka, au kuendesha daftari la kozi na mifano ya msimbo dhidi ya usanidi hai wa Microsoft Foundry / Azure OpenAI. Inajumuisha usanidi wa mazingira (.env, az login, vifurushi), mchezaji wa scripts/validate-notebooks.ps1, kutafsiri matokeo ya PASS/FAIL, na ni masomo yapi yanayohitaji rasilimali za ziada (Azure AI Search, GitHub MCP, Foundry Local, Playwright).
microsoft-docs
Tafuta nyaraka rasmi za Microsoft ili kupata dhana, mafunzo, na mifano ya msimbo katika Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, na zaidi. Inatumia Microsoft Learn MCP kama chaguo la msingi, pamoja na Context7 na Aspire MCP kwa maudhui yanayoishi nje ya learn.microsoft.com.