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copilotkit-developcopilotkit develop 搜索

Agent Skill

copilotkit-develop 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

3,574

周安装

146

GitHub Stars

22

下载量

1,145
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-develop(copilotkit develop 搜索)
来源仓库:https://github.com/copilotkit/skills
仓库路径:skills/copilotkit-develop
安装命令:
npx skills add https://github.com/copilotkit/skills --skill copilotkit-develop
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/copilotkit/skills --skill copilotkit-develop

简介

提供 CopilotKit v2 开发相关的文档与代码搜索能力,适合在 Codex、Claude、Cursor、Gemini CLI 中查询 API 用法、协议细节或组件实现。

  • 支持通过 MCP 服务器检索实时文档与源码,辅助理解 AG-UI 协议分层架构与运行时机制。
  • 调用时指定关键词或上下文,获取精准技术参考;需注意 Claude Code 自动配置,Codex 需手动设置。
  • 安装依赖 Node.js >=18 及 AI 提供商密钥;建议核对项目版本与依赖兼容性,避免引入冲突。
  • copilotkit-develop 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

CopilotKit v2 Development Skill

Live Documentation (MCP)

This plugin includes an MCP server (copilotkit-docs) that provides search-docs and search-code tools for querying live CopilotKit documentation and source code.

  • Claude Code: Auto-configured by the plugin's .mcp.json -- no setup needed.
  • Codex: Requires manual configuration. See the copilotkit-debug skill for setup instructions.

Architecture Overview

CopilotKit v2 is built on the AG-UI protocol (@ag-ui/client / @ag-ui/core). The stack has three layers:

  1. Runtime (@copilotkit/runtime) -- Server-side. Hosts agents, handles SSE/Intelligence transport, middleware, transcription.
  2. Core (@copilotkit/core) -- Shared state management, tool registry, suggestion engine. Not imported directly by apps.
  3. React (@copilotkit/react) -- Provider, chat components, hooks. Re-exports everything from @ag-ui/client so apps need only one import.

Workflow

1. Set Up the Runtime (Server)

Create a CopilotRuntime (or the explicit CopilotSseRuntime / CopilotIntelligenceRuntime) and expose it via createCopilotEndpoint (Hono) or createCopilotEndpointExpress (Express).

import { CopilotRuntime, createCopilotEndpoint } from "@copilotkit/runtime";
import { LangGraphAgent } from "@ag-ui/langgraph";

const runtime = new CopilotRuntime({
  agents: {
    myAgent: new LangGraphAgent({ /* ... */ }),
  },
});

const app = createCopilotEndpoint({
  runtime,
  basePath: "/api/copilotkit",
});

2. Wrap Your App with the Provider (Client)

import { CopilotKitProvider } from "@copilotkit/react";

function App() {
  return (
    <CopilotKitProvider runtimeUrl="/api/copilotkit">
      <YourApp />
    </CopilotKitProvider>
  );
}

3. Add a Chat UI

Use <CopilotChat>, <CopilotPopup>, or <CopilotSidebar>:

import { CopilotChat } from "@copilotkit/react";

function ChatPage() {
  return <CopilotChat agentId="myAgent" />;
}

4. Register Frontend Tools

Let the agent call functions in the browser:

import { useFrontendTool } from "@copilotkit/react";
import { z } from "zod";

useFrontendTool({
  name: "highlightCell",
  description: "Highlight a spreadsheet cell",
  parameters: z.object({ row: z.number(), col: z.number() }),
  handler: async ({ row, col }) => {
    highlightCell(row, col);
    return "done";
  },
});

5. Share Application Context

Provide runtime data to the agent:

import { useAgentContext } from "@copilotkit/react";

useAgentContext({
  description: "The user's current shopping cart",
  value: cart, // any JSON-serializable value
});

6. Handle Agent Interrupts

When an agent pauses for human input:

import { useInterrupt } from "@copilotkit/react";

useInterrupt({
  render: ({ event, resolve }) => (
    <div>
      <p>{event.value.question}</p>
      <button onClick={() => resolve({ approved: true })}>Approve</button>
    </div>
  ),
});

7. Render Tool Calls in Chat

Show custom UI when tools execute:

import { useRenderTool } from "@copilotkit/react";
import { z } from "zod";

useRenderTool({
  name: "searchDocs",
  parameters: z.object({ query: z.string() }),
  render: ({ status, parameters, result }) => {
    if (status === "executing") return <Spinner>Searching {parameters.query}...</Spinner>;
    if (status === "complete") return <Results data={result} />;
    return <div>Preparing...</div>;
  },
}, []);

Quick Reference: Hooks

HookPurpose
useFrontendToolRegister a tool the agent can call in the browser
useComponentRegister a React component as a chat-rendered tool (convenience wrapper around useFrontendTool)
useAgentContextShare JSON-serializable application state with the agent
useAgentGet the AbstractAgent instance for an agent ID; subscribe to message/state/run-status changes
useInterruptHandle on_interrupt events from agents with render + optional handler/filter
useHumanInTheLoopRegister a tool that pauses execution until the user responds via a rendered UI
useRenderToolRegister a renderer for tool calls (by name or wildcard "*")
useDefaultRenderToolRegister a wildcard "*" renderer using the built-in expandable card UI
useRenderToolCallInternal hook returning a function to resolve the correct renderer for a given tool call
useRenderActivityMessageInternal hook for rendering activity messages by type
useRenderCustomMessagesInternal hook for rendering custom message decorators
useSuggestionsRead the current suggestion list and control reload/clear
useConfigureSuggestionsRegister static or dynamic (LLM-generated) suggestion configs
useThreadsList, rename, archive, and delete Intelligence platform threads

Quick Reference: Components

ComponentPurpose
CopilotKitProviderRoot provider -- configures runtime URL, headers, agents, error handler
CopilotChatFull chat interface connected to an agent (inline layout)
CopilotPopupChat in a floating popup with toggle button
CopilotSidebarChat in a collapsible sidebar with toggle button
CopilotChatViewHeadless chat view with slots for message view, input, scroll, suggestions
CopilotChatInputChat input textarea with send/stop/transcribe controls
CopilotChatMessageViewRenders the message list
CopilotChatSuggestionViewRenders suggestion pills

Quick Reference: Runtime

ExportPurpose
CopilotRuntimeAuto-detecting runtime (delegates to SSE or Intelligence)
CopilotSseRuntimeExplicit SSE-mode runtime
CopilotIntelligenceRuntimeIntelligence-mode runtime with durable threads
createCopilotEndpointCreate a Hono app with all CopilotKit routes
createCopilotEndpointExpressCreate an Express router with all CopilotKit routes
CopilotKitIntelligenceIntelligence platform client configuration

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

33.12%
按下载量换算379

Claude

30.61%
按下载量换算350

Cursor

17.33%
按下载量换算198

Gemini CLI

9.24%
按下载量换算106

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。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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