Token导航 LogoToken导航TokenDH.com
研究检索敏感数据github未标认证来源可访问clear审计通过

chatkit-js聊天工具包 js

Agent Skill

chatkit-js 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

306

周安装

13

GitHub Stars

2

下载量

107
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

3

许可证

MIT

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:chatkit-js(聊天工具包 js)
来源仓库:https://github.com/naimalarain13/hackathon-ii_the-evolution-of-todo
仓库路径:skills/chatkit-js
安装命令:
npx skills add https://github.com/naimalarain13/hackathon-ii_the-evolution-of-todo --skill chatkit-js
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/naimalarain13/hackathon-ii_the-evolution-of-todo --skill chatkit-js

简介

chatkit-js 用于集成 OpenAI ChatKit UI 组件到 Next.js 应用,支持自定义后端配置。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中快速搭建带聊天界面的前端项目。
  • 通过 useChatKit hook 配置 API,支持主题定制、认证注入和历史会话管理。
  • 安装前需确认项目是否基于 Next.js,并检查网络权限与 API 密钥安全性。
  • chatkit-js 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

ChatKit JS Frontend Skill

Integrate OpenAI ChatKit UI components into Next.js applications with custom backend support.

Architecture

┌─────────────────────────────────────────────────────────────────────────┐
│                    Next.js Frontend                                     │
│  ┌─────────────────────────────────────────────────────────────────┐   │
│  │                   ChatKit Widget                                 │   │
│  │  • useChatKit hook with custom API config                        │   │
│  │  • Theming & customization                                       │   │
│  │  • Auth token injection                                          │   │
│  │  • Conversation history                                          │   │
│  └─────────────────────────────────────────────────────────────────┘   │
└─────────────────────────────────────────────────────────────────────────┘
                                  │
                                  │ Custom fetch with JWT
                                  ▼
┌─────────────────────────────────────────────────────────────────────────┐
│                    FastAPI Backend                                      │
│                   /api/chat (SSE streaming)                             │
└─────────────────────────────────────────────────────────────────────────┘

Quick Start

Installation

npm install @openai/chatkit-react

# Or with pnpm
pnpm add @openai/chatkit-react

Environment Variables

# Domain key from OpenAI (for hosted mode)
NEXT_PUBLIC_OPENAI_DOMAIN_KEY=your-domain-key

# Custom API URL (for custom backend mode)
NEXT_PUBLIC_CHAT_API_URL=http://localhost:8000/api/chat

Reference

Examples

ExampleDescription
examples/todo-chatbot.mdComplete todo chatbot widget

Templates

TemplatePurpose
templates/ChatWidget.tsxChatKit widget component
templates/ChatPage.tsxFull chat page layout

Basic ChatKit Widget

"use client";

import { ChatKit, useChatKit } from "@openai/chatkit-react";

export function ChatWidget() {
  const { control } = useChatKit({
    api: {
      url: process.env.NEXT_PUBLIC_CHAT_API_URL || "/api/chat",
      domainKey: process.env.NEXT_PUBLIC_OPENAI_DOMAIN_KEY,
    },
  });

  return (
    <ChatKit
      control={control}
      className="h-[600px] w-[400px] rounded-lg shadow-lg"
    />
  );
}

Custom API with Authentication

"use client";

import { ChatKit, useChatKit } from "@openai/chatkit-react";
import { useSession } from "@/lib/auth-client"; // Better Auth

export function AuthenticatedChat() {
  const { data: session } = useSession();

  const { control } = useChatKit({
    api: {
      url: process.env.NEXT_PUBLIC_CHAT_API_URL || "/api/chat",
      domainKey: process.env.NEXT_PUBLIC_OPENAI_DOMAIN_KEY,

      // Custom fetch to inject auth token
      fetch: async (input, init) => {
        const token = session?.session?.token;
        return fetch(input, {
          ...init,
          headers: {
            ...init?.headers,
            "Authorization": `Bearer ${token}`,
            "Content-Type": "application/json",
          },
          credentials: "include",
        });
      },
    },
  });

  if (!session) {
    return <div>Please sign in to use the chatbot</div>;
  }

  return (
    <ChatKit
      control={control}
      className="h-full w-full"
    />
  );
}

Theming

const { control } = useChatKit({
  api: { /* ... */ },
  theme: {
    colorScheme: "dark", // or "light"
    color: {
      accent: {
        primary: "#3b82f6", // Blue accent
        level: 2,
      },
      grayscale: {
        hue: 220,
        tint: 5,
        shade: 0,
      },
      surface: {
        background: "#1f2937",
        foreground: "#f9fafb",
      },
    },
    radius: "soft", // "none", "soft", "round"
    density: "normal", // "compact", "normal", "spacious"
    typography: {
      fontFamily: "Inter, system-ui, sans-serif",
      fontFamilyMono: "JetBrains Mono, monospace",
      baseSize: 16,
    },
  },
});

Start Screen Customization

const { control } = useChatKit({
  api: { /* ... */ },
  startScreen: {
    greeting: "Hi! I'm your task assistant. How can I help?",
    prompts: [
      {
        name: "View Tasks",
        prompt: "Show me my pending tasks",
        icon: "list",
      },
      {
        name: "Add Task",
        prompt: "Help me add a new task",
        icon: "plus",
      },
      {
        name: "Get Help",
        prompt: "What can you help me with?",
        icon: "question",
      },
    ],
  },
});

Header Customization

const { control } = useChatKit({
  api: { /* ... */ },
  header: {
    enabled: true,
    title: {
      enabled: true,
      text: "Todo Assistant",
    },
    leftAction: {
      icon: "sidebar-left",
      onClick: () => toggleSidebar(),
    },
    rightAction: {
      icon: "settings-cog",
      onClick: () => openSettings(),
    },
  },
});

Composer Customization

const { control } = useChatKit({
  api: { /* ... */ },
  composer: {
    placeholder: "Ask me to manage your tasks...",
    tools: [
      {
        id: "tasks",
        label: "Tasks",
        shortLabel: "Tasks",
        icon: "list",
        placeholderOverride: "What task would you like to add?",
        pinned: true,
      },
      {
        id: "search",
        label: "Search",
        shortLabel: "Search",
        icon: "search",
        placeholderOverride: "Search your tasks...",
        pinned: true,
      },
    ],
    attachments: {
      enabled: false, // Enable if backend supports
      maxSize: 10 * 1024 * 1024, // 10MB
      maxCount: 3,
      accept: {
        "image/*": [".png", ".jpg", ".jpeg"],
        "application/pdf": [".pdf"],
      },
    },
  },
});

Conversation History

const { control } = useChatKit({
  api: { /* ... */ },
  history: {
    enabled: true,
    showDelete: true,
    showRename: true,
  },
});

Embedding as Widget

For embedding the chatbot as a floating widget:

"use client";

import { useState } from "react";
import { ChatKit, useChatKit } from "@openai/chatkit-react";

export function FloatingChatWidget() {
  const [isOpen, setIsOpen] = useState(false);

  const { control } = useChatKit({
    api: {
      url: "/api/chat",
      domainKey: process.env.NEXT_PUBLIC_OPENAI_DOMAIN_KEY,
    },
  });

  return (
    <>
      {/* Toggle Button */}
      <button
        onClick={() => setIsOpen(!isOpen)}
        className="fixed bottom-4 right-4 z-50 rounded-full bg-blue-600 p-4 text-white shadow-lg hover:bg-blue-700"
      >
        {isOpen ? "✕" : "💬"}
      </button>

      {/* Chat Widget */}
      {isOpen && (
        <div className="fixed bottom-20 right-4 z-50 h-[500px] w-[380px] overflow-hidden rounded-lg shadow-xl">
          <ChatKit control={control} className="h-full w-full" />
        </div>
      )}
    </>
  );
}

Full Page Chat

"use client";

import { ChatKit, useChatKit } from "@openai/chatkit-react";

export default function ChatPage() {
  const { control } = useChatKit({
    api: {
      url: "/api/chat",
      domainKey: process.env.NEXT_PUBLIC_OPENAI_DOMAIN_KEY,
    },
    theme: {
      colorScheme: "light",
    },
    startScreen: {
      greeting: "Welcome! How can I help you today?",
    },
  });

  return (
    <div className="flex h-screen flex-col">
      <header className="border-b p-4">
        <h1 className="text-xl font-bold">Todo Chatbot</h1>
      </header>
      <main className="flex-1">
        <ChatKit control={control} className="h-full w-full" />
      </main>
    </div>
  );
}

OpenAI Domain Allowlist Setup

For production deployment:

  1. Deploy frontend to get production URL
  2. Add domain to OpenAI allowlist:

- Go to: https://platform.openai.com/settings/organization/security/domain-allowlist - Click "Add domain" - Enter your frontend URL (without trailing slash)

  1. Get domain key and add to env variables

Note: localhost typically works without domain allowlist configuration.

Error Handling

const { control, error, isLoading } = useChatKit({
  api: { /* ... */ },
});

if (error) {
  return <div>Error: {error.message}</div>;
}

if (isLoading) {
  return <div>Loading...</div>;
}

Best Practices

  1. Use "use client" - ChatKit requires client-side rendering
  2. Configure CORS - Ensure backend allows frontend origin
  3. Inject auth tokens - Use custom fetch for authenticated requests
  4. Handle errors - Show user-friendly error states
  5. Customize theming - Match your app's design system
  6. Use start screen prompts - Guide users on what they can do
  7. Enable history - Allow users to continue conversations

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

28.76%
按下载量换算31

Antigravity

20.77%
按下载量换算22

Codex

17.69%
按下载量换算19

windsurf

12.5%
按下载量换算13

Gemini CLI

7.62%
按下载量换算8

OpenCode

3.32%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。

来源信息

继续浏览同类 Skills