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149 results for "microsoft"
playwright-cli
Automate browser interactions, test web pages and work with Playwright tests.
microsoftplaywright-devops
DevOps workflows for Playwright - CI failure analysis, workflow debugging, and release operations.
microsoftplaywright-dev
解释如何开发 Playwright——添加 API、MCP 工具、CLI 命令和供应商依赖项。
microsoft
microsoft-agent-framework
Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.
githubmicrosoft-skill-creator
使用 Learn MCP 工具为 Microsoft 技术创建智能体技能。当用户想要创建教授智能体关于任何 Microsoft 技术、库、框架或服务（Azure、.NET、M365、VS Code、Bicep 等）的技能时使用。深入调查主题，然后生成混合技能，在本地存储基本知识，同时支持动态深入调查。
githubmicrosoft-docs
查询官方 Microsoft 文档，查找 Azure、.NET、Agent Framework、Aspire、VS Code、GitHub 等产品的概念、教程和代码示例。默认使用 Microsoft Learn MCP，对于 learn.microsoft.com 之外的内容则使用 Context7 和 Aspire MCP。
githubmicrosoft-code-reference
查找 Microsoft API 参考文档、获取可用的代码示例，并验证 SDK 代码的正确性。适用于使用 Azure SDK、.NET 库或 Microsoft API 时，查找正确的方法、检查参数、获取工作示例或排查错误。通过查询官方文档，捕获虚构的方法、错误的签名和已弃用的模式。
githubdev
playwright-cli 仓库的开发与维护工作流。当用户询问依赖更新 (Rolling)、版本发布或其他仓库日常维护任务时使用。
microsoftplaywright-cli
自动化浏览器交互、测试网页并处理 Playwright 测试。
microsoft
ads-microsoft
全面审计 Microsoft Advertising 的转化跟踪与 UET、搜索及受众广告系列、Google 导入项目、联盟网络分发、关键词、广告素材、出价策略、预算分配、Copilot 流量版块及合规政策。适用于 Microsoft Ads、Bing Ads、UET、Microsoft Audience Network、Google Ads 数据导入或微软广告系列优化。
agricidanielrushstack-best-practices
Provides best practices and guidance for working with Rush monorepos. Use when the user is working in a Rush-based repository, asks about Rush commands (install, update, build, rebuild), needs help with project selection, dependency management, build caching, subspace configuration, or troubleshooting Rush-specific issues.
microsoft
microsoft-code-reference
Find working code samples, verify API signatures, and fix Microsoft SDK errors using official docs. Use whenever the user is writing, debugging, or reviewing code that touches any Microsoft SDK, .NET library, Azure client library, or Microsoft API—even if they don't ask for a "reference." Catches hallucinated methods, wrong signatures, and deprecated patterns. If the task involves producing or fixing Microsoft-related code, this is the right skill.
microsoftdocsmicrosoft-skill-creator
Create agent skills for Microsoft technologies using official documentation. Use whenever the user wants to build, generate, or scaffold a skill for any Microsoft technology (Azure, .NET, M365, VS Code, Bicep, etc.)—even phrased casually like "make a skill for Cosmos DB." Investigates the topic via official docs, then generates a hybrid skill with essential knowledge stored locally and dynamic lookups for depth.
microsoftdocsmicrosoft-docs
Understand Microsoft technologies by querying official documentation. Use whenever the user asks how something works, wants tutorials, needs configuration options, limits, quotas, or best practices for any Microsoft technology (Azure, .NET, M365, Windows, Power Platform, etc.)—even if they don't mention "docs." If the question is about understanding a concept rather than writing code, this is the right skill.
microsoftdocsazure-kusto-irql-graph
Apply IRQL graph functions to KQL or IRQL query results for Kusto Explorer visualization. Generates Lift_To_Graph mappings and composes Graph_Render_View, Graph_Fold_By_Property, Extract_Node_*, Enrich_Node_*, and Enrich_Graph_* calls. Accepts a supplied query or limited basic natural-language source request; it is not a general natural-language-to-KQL/IRQL skill. WHEN: Lift_To_Graph, Graph_Render_View, Graph_Fold_By_Property, IRQL graph enrichment, graph mapping for existing query results, icon-decorated graph, fold graph nodes. Use azure-kusto-graph for native make-graph analysis, graph-match, shortest paths, components, or persistent graphs.
microsoftazure-kusto-irql
Compose IRQL (Incident Response Query Language) queries for Kusto cybersecurity investigations. Translates natural language hunting questions into composable IRQL pipelines using Get_*, Extract_*, and Enrich_* functions. WHEN: IRQL query, security hunt, threat hunting KQL, incident response query, compose hunting pipeline, failed logins, phishing investigation, lateral movement, process execution, file creation events.
microsoftazure-kusto-graph
Build and query Kusto graphs from natural language. Covers transient graphs (make-graph), persistent graph models/snapshots, pattern matching (graph-match), shortest paths, connected components, and graph-to-table export. Generates the edges-first thinking: define edges, define node lookups, union, make-graph. WHEN: make-graph, graph-match, graph-shortest-paths, graph-to-table, graph-mark-components, persistent graph, graph model, graph snapshot, build a graph from data, find paths between nodes, pattern matching in graph, connected components, transient graph, Kusto graph, KQL graph.
microsoftdiscover-azure-skills
Searches the Azure skills catalog and recommends installable agent skills by matching an Azure task to skill metadata and plugin installation guidance. WHEN: before starting any task that involves an Azure or Microsoft-cloud service, product, or data source, when no currently loaded skill or tool already covers it.
microsoftowasp-top-10
OWASP Top 10 for Web Applications (2025) knowledge base for identifying, assessing, and remediating web application security risks.
microsoftazure-app-onboard-prereq
评估源代码是否准备好部署到 Azure — 在基础设施工作之前的检查。评估构建健康度、应用完整性、依赖项和本地服务、技术栈兼容性以及部署可行性。回答关于你的应用在部署前需要什么的问题 — 框架、依赖项和配置。检查依赖项是否兼容，并识别部署阻塞因素和不支持的框架。触发时机："评估我的仓库"、"我的应用准备好部署了吗"、"我的应用部署需要什么"、"部署前我需要什么"、"我的应用需要"、"我能把这个部署到 Azure 吗"、"扫描我的仓库查找问题"、"这个应用可部署吗"、"检查我的应用是否准备好部署到 Azure"、"我需要 Dockerfile 吗"、"什么阻碍了我的部署"、"有阻塞因素吗"、"我的依赖项兼容吗"、"Azure 支持我的框架吗"、"部署前需要更改什么"、"检查我的应用配置"。
microsoftazure-cost-optimization
根据使用情况和支出数据识别 Azure 成本节省机会。用途：优化 Azure 成本、减少 Azure 支出/费用、分析 Azure 成本、寻找成本节省机会、生成成本优化报告、识别可删除的孤立资源、调整虚拟机大小、减少浪费、优化 Redis 成本、优化存储成本、AKS 成本分析附加组件、命名空间成本、成本峰值、异常、预算警报、AKS 成本可见性。不适用于：部署资源（请使用 azure-deploy）、常规 Azure 诊断（请使用 azure-diagnostics）、安全问题（请使用 azure-security）
microsoftazure-observability
Azure 可观测性服务套件，涵盖 Azure Monitor、Application Insights、Log Analytics、Alerts 和 Workbooks。提供指标监控、APM、分布式追踪、KQL 查询和交互式报表等能力。适用于：Azure Monitor、Application Insights、Log Analytics、告警管理、工作簿、指标监测、APM、分布式链路追踪、KQL 查询、交互式报表、可观测性建设及监控大盘搭建。不适用于：使用 App Insights SDK 接入应用埋点（请使用 appinsights-instrumentation）、查询 Kusto/ADX 集群（请使用 azure-kusto）、成本分析（请使用 azure-cost-optimization）。
microsoftpython-appservice-deploy
将 Python（Flask/Django/FastAPI）代码部署到 Azure App Service Linux。适用场景："Flask App Service"、"Django App Service"、"FastAPI App Service"、"deploy Python to App Service"。不适用于：容器应用、函数应用、非 Python 项目、Terraform/Bicep/IaC、完整基础设施——请使用 azure-prepare。
microsoftazure-reliability
评估并提升 PaaS 应用（Azure Functions 与 Azure App Service）的可靠性表现。自动扫描已部署资源的可用区冗余（Zone Redundancy）、ZRS 存储、健康检查探针及多区域故障转移配置。提供按功能维度划分的检查清单，并在获得用户确认后端到端执行分阶段修复（生成 CLI 命令或 IaC 补丁）。触发条件："assess reliability", "check reliability", "zone redundant", "multi-region failover", "high availability", "disaster recovery", "single points of failure", "reliability posture", "resiliency"。
microsoft