“serve”的搜索结果

通过命令行启动、停止和重启 OmniRoute 服务器，指定端口，配置后台运行、自动恢复和系统托盘显示，并打开管理面板。

• 在指定端口启动服务器
• 配置后台运行和自动恢复
• 停止或重启服务器

Set up a language server, a tool that helps agents understand source code, for a project. Detect the language, install and configure the server, then verify that it responds to a diagnostic request.

中文简介正在准备中。当前显示英语简介。

• Resolving a no LSP server configured error
• Setting up language tools for a new project
• Enabling definition lookup and reference search

Test agent features across local and remote execution environments using integration tests, which check components working together. Covers Docker and Wine setups, test helpers, and configuration-specific skips for the app-server and exec-server split.

中文简介正在准备中。当前显示英语简介。

• Run core integration tests with a Docker remote executor
• Test a Windows exec-server under Wine
• Adapt app-server tests for remote execution

Manage JumpServer hosts, users, accounts, and access permissions through commands. Agents can inspect active connections and audit logs, preview changes before execution, and receive structured results for further processing.

中文简介正在准备中。当前显示英语简介。

• Inventory hosts and inspect asset details
• Create users and configure asset access
• Review failed logins and operation logs

Analyze Kubernetes API server audit logs to identify pod access, secret reads, permission changes, privileged pods, and anonymous requests. Use the event patterns to reconstruct suspicious activity and develop detection rules for security monitoring systems.

中文简介正在准备中。当前显示英语简介。

• Tracing API activity during a suspected cluster compromise
• Reviewing access to Kubernetes secrets
• Investigating permission changes and privileged pods

Add DeepEval tracing to Python AI applications so execution steps appear in Confident AI. Choose a supported integration or manual @observe instrumentation, then capture inputs, outputs, step types, tags, and metadata.

中文简介正在准备中。当前显示英语简介。

• Trace execution steps in a Python AI application
• Select tracing integrations for an existing framework
• Add manual tracing with @observe

Add a complete dashboard panel in plain TypeScript, from server routes and data services to the visible component and registration. The workflow checks existing routing patterns and includes request failure handling, caching, and saved panel state.

中文简介正在准备中。当前显示英语简介。

• Adding a dashboard panel across server and browser code
• Connecting routes to Express or http.createServer
• Adding caching and cooldowns after repeated failures

Add a dashboard or admin panel across the server and interface. This skill follows existing project patterns to build API routes, service logic, components, registration, and styles, then connects request handlers so the new endpoint is reachable.

中文简介正在准备中。当前显示英语简介。

• Adding a new dashboard panel
• Building an admin feature across the server and interface
• Connecting a new API handler to server routing

Set up Ignite UI Lite controls or GridLite in Blazor applications. Match package references, service registration, namespaces, theme stylesheets, and interactive rendering settings to the app’s structure, including projects with separate server and client code.

中文简介正在准备中。当前显示英语简介。

• Adding Ignite UI Lite controls to a Blazor app
• Setting up an app that uses only GridLite
• Reviewing setup in separate server and client projects

Set up language servers, programs that help tools understand source code, for Go, TypeScript, Python, and Rust. Check missing prerequisites, install them with approval, and verify the lsp tool against a real source file.

中文简介正在准备中。当前显示英语简介。

• Enable language support for the lsp tool
• Install a missing language server
• Set up prerequisite development tools

Audit MCP servers, which connect AI agents to external tools, for injected instructions, excessive access, secret leaks, and unapproved actions. Trace untrusted input through tool calls and document demonstrated issues with concrete fixes.

中文简介正在准备中。当前显示英语简介。

• Auditing a custom MCP server
• Reviewing third-party tool integrations
• Checking client connection settings

Build Next.js 14+ applications with App Router, covering pages, server-side processing, data fetching, and caching. The skill also guides performance improvements, search engine metadata, and production deployment to Vercel or a self-hosted environment.

中文简介正在准备中。当前显示英语简介。

• Building pages and layouts with App Router
• Implementing form updates with Server Actions
• Configuring data fetching and cache revalidation

Set up a language server, a tool that helps agents understand source code, for a project. Detect the language, install and configure the server, then verify that it responds to a diagnostic request.

中文简介正在准备中。当前显示英语简介。

• Resolving a no LSP server configured error
• Setting up language tools for a new project
• Enabling definition lookup and reference search

吉里吉里Z (krkrz) の -replweb HTTP+SSE サーバ (WebServer クラス) にブラウザ UI を載せて、本体アプリの操作/編集/観測パネルをブラウザ側に組み込む方法論。ゲーム本体は 3D 表示やゲーム内 UI に専念させ、編集ツール・インスペクター・ダッシュボード・REPL コンソールをブラウザ (別ウィンドウ/別PC) から使う構成を作るときに読む。プラグインや TJS がサーバへエンドポイントを追加公開する手順 (WebServer.register / serveStatic / broadcast)、ハンドラ呼び出し規約 (req %[method,path,query,body,bytes] → 文字列/octet/整数/辞書)、状態同期パターン (fetch POST + SSE /sub push + throttle + 差分/tick 配信)、既存 REPL コンソール (/events + /cmd) の UI 埋め込み、ブラウザのアプリモード起動 (Chromium --app / -webui)、json.dll 連携、TJS2 由来のハマりどころ (ローカル関数クロージャ不在→クラス化 / ブロックコメントのネスト誤爆 / startup 例外の致命性 / ハンドラは必ずメインスレッド実行) を網羅。エンジン側 WebServer クラスそのものの仕様は krkrz core doc/REPL.md、REPL/Agent 駆動は skill krkrz-repl、Elements ネイティブ UI は skill elements、TJS2 言語は skill tjs2、本体 API は skill krkrz を参照。

中文简介正在准备中。当前显示原文说明。

Explore the context-matic MCP server through an interactive tour. Discover available APIs, choose one, and review authentication, data structures, and example calls in your project's programming language, with guidance matched to the SDK version.

中文简介正在准备中。当前显示英语简介。

• Learning what the context-matic server can do
• Browsing APIs available for a project's language
• Exploring an API's authentication and quickstart

Build and troubleshoot C#/.NET MCP servers that expose tools and information to AI agents. Guidance targets the official 2.x SDK and covers transport setup, authentication, interactive features, basic clients, and migration issues caused by changed defaults.

中文简介正在准备中。当前显示英语简介。

• Build a C#/.NET MCP server
• Add tools, prompts, and resources
• Diagnose STDIO and HTTP connection errors

Build MCP servers, which expose tools and data to AI agents, with mcp-use. The material covers server functions, reusable prompts, and interactive React widgets, but this skill is deprecated and points to mcp-app-builder as its replacement.

中文简介正在准备中。当前显示英语简介。

• Planning an MCP server's tools and data resources
• Implementing reusable prompts and response formats
• Adding interactive React widgets to an MCP server

Set up Havoc infrastructure for authorized attack simulations, including its command server, traffic listeners, Nginx relay servers, and Windows agents. The skill also covers communication profiles and operational precautions for running the infrastructure.

中文简介正在准备中。当前显示英语简介。

• Preparing Havoc infrastructure for an authorized exercise
• Reviewing server and traffic relay separation
• Configuring communication profiles for an exercise

Audit MCP servers, which provide external tools to AI agents, for hidden instructions, changes after approval, unsafe internal requests, and missing authentication. Use mcp-scan and manual checks to document risks and recommended fixes.

中文简介正在准备中。当前显示英语简介。

• Reviewing an MCP server before adding it to an agent
• Auditing an internally developed MCP server
• Checking approved tools for unexpected changes

Start a CARLA simulator server from a downloaded release, packaged build, or source checkout. It selects the launch mode, supports headless or windowed operation, checks client connectivity, and guides clean shutdown.

中文简介正在准备中。当前显示英语简介。

• Start a downloaded CARLA release
• Run traffic scenarios without a window
• Launch a server with native ROS 2 enabled

Builds CARLA's ue4-dev branch on Linux, producing the Unreal Engine 4.26 editor, server modules, and an installed Python client package. Fetches required content, optionally compiles native ROS 2 support, and verifies the build against a source-built server.

中文简介正在准备中。当前显示英语简介。

• Building CARLA ue4-dev from source
• Compiling CARLA with native ROS 2 support
• Building the Python client for an existing environment

Add URL handlers to a TypeScript server built with Node's native HTTP module. The skill follows an existing switch/case router, connects named asynchronous handlers, and covers JSON responses, error handling, and optional shared request body parsing.

中文简介正在准备中。当前显示英语简介。

• Adding an API endpoint to a native Node HTTP server
• Connecting a route file to an existing switch/case router
• Sharing JSON request body parsing across routes

Build remote MCP servers, which let AI agents call external tools, on Cloudflare Workers. This skill covers server code, tool definitions, OAuth authentication, local testing, deployment, and connecting a Codex client.

中文简介正在准备中。当前显示英语简介。

• Building a remote MCP server
• Adding OAuth authentication to MCP tools
• Exposing external APIs as tools for AI agents

Set up the iPolloWork server in Daytona, connect an Electron desktop client through public preview URLs, and check service health and logs. Supports cloud feature validation with separate server and desktop test environments.

中文简介正在准备中。当前显示英语简介。

• Start a Daytona server test environment
• Connect Electron to cloud services
• Validate marketplace and organization policy flows