GITHUB AGENT SKILLS / 技能收录
给你的 AI 助手
装上专业技能
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。
按职业浏览 Agent Skills
为不同岗位挑选的高频技能
按使用场景浏览 Agent Skills
从你要完成的任务出发
按创作者浏览 Agent Skills
按 GitHub Stars 排序的优秀创作者
Microsoft
@microsoft
openclaw
@openclaw
OpenAI
@openai
The Apache Software Foundation
@apache
GitHub
@github
Anthropic
@anthropics
AutoGPT
@Significant-Gravitas
Garry Tan
@garrytan全部 Skills 196564
testing-course-samples
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microsoft-docs
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local-ai-agents
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jupyter-notebook
Используйте, когда пользователь просит создать, сгенерировать каркас или отредактировать Jupyter ноутбуки (`.ipynb`) для экспериментов, исследований или учебных материалов; предпочитайте встроенные шаблоны и запустите вспомогательный скрипт `new_notebook.py`, чтобы сгенерировать чистый начальный ноутбук.
deploying-scalable-agents
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azure-openai-to-responses
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testing-course-samples
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).
microsoft-docs
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local-ai-agents
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jupyter-notebook
Se folosește atunci când utilizatorul solicită crearea, structurarea sau editarea notebook-urilor Jupyter (`.ipynb`) pentru experimente, explorări sau tutoriale; se recomandă utilizarea șabloanelor incluse și rularea scriptului de asistență `new_notebook.py` pentru a genera un notebook de pornire curat.
deploying-scalable-agents
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azure-openai-to-responses
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testing-course-samples
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microsoft-docs
Consultar documentação oficial da Microsoft para encontrar conceitos, tutoriais e exemplos de código sobre Azure, .NET, Agent Framework, Aspire, VS Code, GitHub e mais. Utiliza o Microsoft Learn MCP como padrão, com o Context7 e Aspire MCP para conteúdos que se encontram fora do learn.microsoft.com.
local-ai-agents
暂无简介
jupyter-notebook
Usado quando o utilizador pede para criar, estruturar ou editar Jupyter notebooks (`.ipynb`) para experiências, explorações ou tutoriais; prefira os modelos incluídos e execute o script auxiliar `new_notebook.py` para gerar um notebook inicial limpo.
deploying-scalable-agents
Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns, the agent lifecycle, model routing, response caching, evaluation gates, human approval, OpenTelemetry observability, cost optimisation, and smoke-testing deployed agents.
azure-openai-to-responses
暂无简介