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copilotkitcopilotkit 搜索

Agent Skill

copilotkit 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

509

周安装

21

GitHub Stars

公开资料未说明

下载量

166
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:copilotkit(copilotkit 搜索)
来源仓库:https://github.com/nihalnihalani/copilotkit-skill
仓库路径:skills/copilotkit
安装命令:
npx skills add https://github.com/nihalnihalani/copilotkit-skill --skill copilotkit
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/nihalnihalani/copilotkit-skill --skill copilotkit

简介

copilotkit 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态或协作事项进行整理。
  • 通过 npx 命令从指定仓库安装,需结合原始 README 确认具体用法。
  • 使用前应核实权限范围、维护状态及是否涉及联网或文件操作。
  • copilotkit 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

CopilotKit

Full-stack open-source framework (MIT, v1.51.3, Python SDK v0.1.78) for building agentic applications with AI copilots embedded directly in React and Angular UIs. Angular support via @copilotkitnext/angular (Angular 18+19). 28k+ GitHub stars.

When to Use This Skill

  • User wants to add an AI copilot, assistant, or chatbot to a React/Next.js app
  • User is working with CopilotKit hooks, components, or runtime
  • User asks about AI-powered text areas or form completion
  • User needs to connect a Python agent (LangGraph/CrewAI) to a React frontend
  • User is implementing human-in-the-loop or generative UI patterns
  • User asks about AG-UI protocol or MCP Apps
  • User wants to sync state between a UI and an AI agent

Architecture

┌─────────────────────────────────────────────────────────────────┐
│                                                                 │
│   F R O N T E N D    @copilotkit/react-core + react-ui          │
│                                                                 │
│   ┌──────────────────┐  ┌──────────────────┐  ┌──────────────┐ │
│   │  <CopilotPopup>  │  │ <CopilotSidebar> │  │ <CopilotChat>│ │
│   │  <CopilotTextarea>│  │   Headless UI    │  │  Custom UI   │ │
│   └────────┬─────────┘  └────────┬─────────┘  └──────┬───────┘ │
│            └──────────────┬──────┘                    │         │
│                           ▼                           │         │
│   ┌───────────────────────────────────────────────────┘         │
│   │  React Hooks                                                │
│   │  ├─ useCopilotAction()       → Define callable tools        │
│   │  ├─ useCopilotReadable()     → Expose app state to LLM     │
│   │  ├─ useAgent()               → Bidirectional state (v2)    │
│   │  ├─ useFrontendTool()        → Generative UI rendering     │
│   │  ├─ useCopilotChat()         → Headless chat control       │
│   │  └─ useLangGraphInterrupt()  → Human-in-the-loop           │
│   └─────────────────────────┬───────────────────────────────────│
│                             │                                   │
└─────────────────────────────┼───────────────────────────────────┘
                              │
                    ┌─────────▼─────────┐
                    │    AG-UI Protocol  │
                    │  (HTTP event stream│
                    │   17 event types)  │
                    └─────────┬─────────┘
                              │
┌─────────────────────────────┼───────────────────────────────────┐
│                             │                                   │
│   B A C K E N D    @copilotkit/runtime                          │
│                             ▼                                   │
│   ┌─────────────────────────────────────────────────────────┐   │
│   │  CopilotRuntime                                         │   │
│   │  ┌──────────────┐ ┌───────────────┐ ┌────────────────┐ │   │
│   │  │ LLM Adapters │ │ Backend       │ │ Thread         │ │   │
│   │  │ OpenAI       │ │ Actions       │ │ Persistence    │ │   │
│   │  │ Anthropic    │ │ (server-side  │ │ InMemory /     │ │   │
│   │  │ Google       │ │  tools)       │ │ SQLite         │ │   │
│   │  │ Groq         │ │               │ │                │ │   │
│   │  └──────────────┘ └───────────────┘ └────────────────┘ │   │
│   │  ┌──────────────────────────────────────────────────┐   │   │
│   │  │ Agent Router                                     │   │   │
│   │  │ ├─ BuiltInAgent   (direct LLM + middleware)      │   │   │
│   │  │ ├─ BasicAgent     (lightweight, no middleware)    │   │   │
│   │  │ └─ CustomHttpAgent (remote Python/JS agents) ────┼───┼─┐ │
│   │  └──────────────────────────────────────────────────┘   │ │ │
│   └─────────────────────────────────────────────────────────┘ │ │
│                                                               │ │
└───────────────────────────────────────────────────────────────┼─┘
                                                                │
                    ┌───────────────────┐                       │
                    │    AG-UI / HTTP    │◄──────────────────────┘
                    └─────────┬─────────┘
                              │
┌─────────────────────────────┼───────────────────────────────────┐
│                             ▼                                   │
│   A G E N T   L A Y E R   (optional, any AG-UI framework)      │
│                                                                 │
│   Python: copilotkit SDK v0.1.78 + FastAPI / Flask              │
│                                                                 │
│   ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐  │
│   │ LangGraph  │ │  CrewAI    │ │ Google ADK │ │ AWS Strands│  │
│   └────────────┘ └────────────┘ └────────────┘ └────────────┘  │
│   ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐  │
│   │  Mastra    │ │ PydanticAI │ │    AG2     │ │ LlamaIndex │  │
│   └────────────┘ └────────────┘ └────────────┘ └────────────┘  │
│                                                                 │
│   Protocols:  AG-UI (↔ user)  ·  MCP (↔ tools)  ·  A2A (↔ agents)│
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

Quick Start

New project

npx copilotkit@latest create -f next

Existing project

npm install @copilotkit/react-core @copilotkit/react-ui @copilotkit/runtime

Environment

# .env.local
OPENAI_API_KEY="sk-..."
# or ANTHROPIC_API_KEY, GOOGLE_API_KEY, GROQ_API_KEY

Backend API route (app/api/copilotkit/route.ts)

import {
  CopilotRuntime,
  OpenAIAdapter, // or AnthropicAdapter, GoogleGenerativeAIAdapter, GroqAdapter, LangChainAdapter
  copilotRuntimeNextJSAppRouterEndpoint,
} from "@copilotkit/runtime";
import { NextRequest } from "next/server";

const serviceAdapter = new OpenAIAdapter({ model: "gpt-4o" });
const runtime = new CopilotRuntime();

export const POST = async (req: NextRequest) => {
  const { handleRequest } = copilotRuntimeNextJSAppRouterEndpoint({
    runtime,
    serviceAdapter,
    endpoint: "/api/copilotkit",
  });
  return handleRequest(req);
};

Frontend provider (layout.tsx)

import { CopilotKit } from "@copilotkit/react-core";
import "@copilotkit/react-ui/styles.css";

export default function RootLayout({ children }: { children: React.ReactNode }) {
  return (
    <html lang="en">
      <body>
        <CopilotKit runtimeUrl="/api/copilotkit">
          {children}
        </CopilotKit>
      </body>
    </html>
  );
}

Chat UI (page.tsx)

import { CopilotPopup } from "@copilotkit/react-ui"; // or CopilotSidebar, CopilotChat

export default function Home() {
  return (
    <>
      <YourApp />
      <CopilotPopup
        instructions="You are an AI assistant for this app."
        labels={{ title: "Assistant", initial: "How can I help?" }}
      />
    </>
  );
}

Core Hooks

useCopilotReadable -- Expose app state to LLM

useCopilotReadable({
  description: "Current user profile and preferences",
  value: { name: user.name, role: user.role, preferences },
});

useCopilotAction -- Define executable actions

useCopilotAction({
  name: "addItem",
  description: "Add a new item to the list",
  parameters: [
    { name: "title", type: "string", required: true },
    { name: "priority", type: "string", description: "low, medium, or high" },
  ],
  handler: async ({ title, priority = "medium" }) => {
    setItems(prev => [...prev, { id: Date.now().toString(), title, priority }]);
    return `Added "${title}" with ${priority} priority`;
  },
});

useCopilotChat -- Programmatic chat control

const { appendMessage, stopGeneration, reset, reloadMessages } = useCopilotChat();

useCopilotAdditionalInstructions -- Dynamic context-aware prompts

useCopilotAdditionalInstructions({
  instructions: "User is on the settings page. Help them configure preferences.",
});

useCopilotChatSuggestions -- Auto-generate suggestions from app state

useCopilotChatSuggestions({
  instructions: "Suggest actions based on the current app state.",
});

useAgent -- v2 agent state sync (superset of useCoAgent)

const { state, setState, run, stop } = useAgent({ name: "my_agent" });

useAgent is the v2 replacement for useCoAgent. It includes all useCoAgent functionality plus time-travel debugging and improved state management. Prefer useAgent for new projects.

CopilotTask -- Run one-off programmatic tasks

import { CopilotTask } from "@copilotkit/react-core";

const task = new CopilotTask({ instructions: "Summarize the data" });
await task.run(context);

Advanced Patterns

Detailed guides organized by topic -- load only what's needed:

UI Components

ComponentImportUse case
CopilotChat@copilotkit/react-uiEmbedded inline chat panel
CopilotSidebar@copilotkit/react-uiCollapsible sidebar chat
CopilotPopup@copilotkit/react-uiFloating popup chat
CopilotTextarea@copilotkit/react-uiAI-powered textarea drop-in

All accept instructions, labels, suggestions, custom message/input components, and observabilityHooks.

CopilotKit Provider Props

PropTypePurpose
runtimeUrlstringSelf-hosted runtime endpoint
publicApiKeystringCopilot Cloud API key
headersobjectCustom auth headers
credentialsstringCookie handling ("include" for cross-origin)
agentstringDefault agent name
propertiesobjectThread metadata, authorization
onErrorfunctionError handler callback
showDevConsolebooleanDev error banners
enableInspectorbooleanDebugging inspector tool
renderActivityMessagesarrayCustom renderers (A2UI, etc.)

Agent Protocols

ProtocolPurposePackage
AG-UIAgent <-> User interaction, event streaming@ag-ui/core, @ag-ui/client
MCPAgent <-> External toolsMCP server integration
A2AAgent <-> Agent communicationA2A protocol support

Supported Agent Frameworks

LangGraph, CrewAI, Google ADK, AWS Strands, Microsoft Agent Framework, Mastra, PydanticAI, AG2, LlamaIndex, Agno, VoltAgent, Blaxel.

LLM Adapters

OpenAIAdapter, AnthropicAdapter, GoogleGenerativeAIAdapter, GroqAdapter, LangChainAdapter, OpenAIAssistantAdapter.

Key Packages

PackagePurpose
@copilotkit/react-coreProvider + all hooks
@copilotkit/react-uiChat UI components + styles
@copilotkit/runtimeBackend runtime + LLM adapters + framework endpoints
copilotkit (Python)Python SDK for LangGraph/CrewAI agents
@copilotkitnext/angularAngular SDK (Angular 18+19)
@ag-ui/coreAG-UI protocol types/events
@ag-ui/clientAG-UI client implementation

Error Handling

Frontend onError callback

<CopilotKit
  runtimeUrl="/api/copilotkit"
  onError={(error) => {
    console.error("CopilotKit error:", error);
    toast.error("AI assistant encountered an error");
  }}
>

Tool render "failed" status

All render functions receive status === "failed" when a tool errors. Always handle this:

render: ({ status, args, result }) => {
  if (status === "failed") return <ErrorCard message="Tool execution failed" />;
  // ...
}

Python SDK exception types

ExceptionMeaning
ActionNotFoundExceptionRequested action not registered
AgentNotFoundExceptionRequested agent not found in endpoint

Versioning

Current version: v1.51.3 (Python SDK v0.1.78). The v2 runtime interface is available at the /v2 path. Next-generation packages use the @copilotkitnext/* namespace (e.g., @copilotkitnext/angular).

Common Anti-Patterns

Don'tDo Instead
Put API keys in client-side codeUse server-side env vars + runtime endpoint
Create a new CopilotRuntime per requestInstantiate once, reuse across requests
Skip status checks in render functionsAlways handle "inProgress", "complete", "failed"
Use useCoAgent for new projectsPrefer useAgent (v2 superset with time travel)
Hardcode instructions in every componentUse useCopilotAdditionalInstructions for page-specific context
Forget to import stylesAdd import "@copilotkit/react-ui/styles.css" in layout
Mix runtimeUrl and publicApiKey without reasonPick one deployment mode unless you need hybrid
Put heavy computation in action handlersReturn data from handlers, compute in render

Common Patterns Cheat Sheet

Want to...Use
Show a chat bubble<CopilotPopup>
Give LLM app contextuseCopilotReadable()
Let LLM call functionsuseCopilotAction()
Render UI from tool callsuseFrontendTool() or useRenderToolCall()
Default fallback tool rendereruseDefaultTool()
Sync state bidirectionallyuseCoAgent()
Use v2 agent state syncuseAgent() (superset of useCoAgent)
Show agent progressuseCoAgentStateRender()
Ask user for approvaluseHumanInTheLoop()
Handle LangGraph interruptsuseLangGraphInterrupt()
Control chat programmaticallyuseCopilotChat()
Run one-off tasksCopilotTask
Connect Python agentCopilotKitRemoteEndpoint + LangGraphAgent
Scaffold AG-UI appnpx create-ag-ui-app
Persist conversationsThread model + StorageRunners

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.79%
按下载量换算56

Claude

33.08%
按下载量换算55

Cursor

18.96%
按下载量换算31

Gemini CLI

10.35%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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