GITHUB AGENT SKILLS / 技能收录
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我们从 GitHub 持续收录、审核并分类优质的 Agent Skills，按职业与使用场景整理，复制一行命令即可安装到 Claude Code、Cursor 等智能体。
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Microsoft
@microsoft
openclaw
@openclaw
OpenAI
@openai
The Apache Software Foundation
@apache
GitHub
@github
Anthropic
@anthropics
AutoGPT
@Significant-Gravitas
Garry Tan
@garrytan全部 Skills 196235
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.
jupyter-notebook
Gamitin kapag humihiling ang gumagamit na gumawa, mag-scaffold, o mag-edit ng mga Jupyter notebook (`.ipynb`) para sa mga eksperimento, eksplorasyon, o tutorial; mas piliin ang mga naka-bundle na template at patakbuhin ang helper script na `new_notebook.py` upang makabuo ng malinis na panimulang notebook.
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.
azure-openai-to-responses
Ilipat ang mga Python app mula sa Azure OpenAI Chat Completions papuntang Responses API. Saklaw nito ang pag-migrate ng AzureOpenAI/AsyncAzureOpenAI client sa v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, at mga pagsusuri sa compatibility ng modelo. Nakatuon sa Python, para sa Azure OpenAI. GAMITIN PARA SA: pag-migrate sa responses API, paglipat mula sa chat completions, openai responses, pag-upgrade ng openai SDK, migration sa responses API, paglipat mula completions sa responses, gpt-5 migration, azure openai python migration, chat completions papuntang responses, AzureOpenAI papuntang OpenAI client, python azure openai upgrade. HUWAG GAMITIN PARA SA: paggawa ng mga bagong app mula sa simula (simulan direkta sa responses), Node/TypeScript/C#/Java/Go migrations (Python lang ang kasanayang ito), Azure infrastructure setup (gumamit ng azure-prepare), pag-deploy ng mga modelo (gumamit ng microsoft-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
local-ai-agents
暂无简介
jupyter-notebook
ใช้เมื่อผู้ใช้ร้องขอให้สร้าง จัดโครงร่าง หรือแก้ไข Jupyter notebooks (`.ipynb`) สำหรับการทดลอง การสำรวจ หรือบทแนะนำ; ควรใช้เทมเพลตที่มาพร้อมและรันสคริปต์ช่วยเหลือ `new_notebook.py` เพื่อสร้างโน้ตบุ๊กเริ่มต้นที่สะอาด
deploying-scalable-agents
暂无简介
azure-openai-to-responses
暂无简介
testing-course-samples
暂无简介
microsoft-docs
暂无简介
local-ai-agents
暂无简介
jupyter-notebook
వినియోగదారు ప్రయోగాలు, అన్వేషణలు లేదా పాఠ్యాల కోసం Jupyter నోట్బుక్స్ (`.ipynb`) సృష్టించమని, ఆధార నిర్మాణం (scaffold) చేయమని లేదా సవరిచమని అడిగినప్పుడు ఉపయోగించండి; బండిల్ చేయబడ్డ టెంప్లేట్లను ప్రాధాన్యంగా ఉపయోగించి సహాయక స్క్రిప్ట్ `new_notebook.py` ని నడపండి ఒక శుభ్రమైన ప్రారంభ నోట్బుక్ రూపొందించడానికి.
deploying-scalable-agents
暂无简介
azure-openai-to-responses
暂无简介