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Agent Skill · 研究检索

ai-sdk-ui(AI SDK UI 浏览器)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

ai-sdk-ui 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 10,729。

总安装 12,175周安装 523GitHub Stars 750下载 4,268核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:ai-sdk-ui(AI SDK UI 浏览器)
来源仓库:https://github.com/jezweb/claude-skills
仓库路径:skills/ai-sdk-ui
安装命令:
npx skills add https://github.com/jezweb/claude-skills --skill ai-sdk-ui
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/jezweb/claude-skills --skill ai-sdk-ui

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

使用 Vercel AI SDK v6 进行 React 聊天界面,涵盖挂钩、消息部分、工具批准工作流程和 18 个记录的 UI 错误解决方案。

三个核心钩子:useChat 对于对话式人工智能,使用Completion 用于文本生成,以及 useObject 用于结构化输出流 现在可以通过 .parts 访问消息内容 数组(v5 的重大更改),支持文本、工具调用、文件、推理和源引用 工具批准工作流程可在执行前进行人机交互确认,并具有自动提交功能以在批准后继续对话 解决了 18 个常见错误,包括流解析失败、React 严格模式中的过时闭包错误、并发请求竞争条件和工具审批边缘情况 包括 v4→v5 重大更改的迁移指南(删除输入状态管理、append() 替换为 sendMessage() )

来源仓库内路径:skills/ai-sdk-ui

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jezweb/claude-skills --skill ai-sdk-ui;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ai-sdk-ui 怎么安装?

在终端执行 npx skills add https://github.com/jezweb/claude-skills --skill ai-sdk-ui。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ai-sdk-ui 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ai-sdk-ui 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

ai-sdk-ui 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ai-sdk-ui 用的人多吗?

公开数据是累计安装 12,175 次,近一周安装 523 次,下载 4,268 次,GitHub 750 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ai-sdk-ui 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ai-sdk-ui

AI SDK UI 浏览器 · 本页

12,175750需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

AI SDK UI - Frontend React Hooks

Frontend React hooks for AI-powered user interfaces with Vercel AI SDK v6.

Version: AI SDK v6.0.42 (Stable) Framework: React 18+/19, Next.js 14+/15+ Last Updated: 2026-01-20


AI SDK v6 Stable (January 2026)

Status: Stable Release Latest: ai@6.0.42, @ai-sdk/react@3.0.44, @ai-sdk/openai@3.0.7 Migration: Minimal breaking changes from v5 → v6

New UI Features in v6

1. Message Parts Structure (Breaking Change) In v6, message content is now accessed via .parts array instead of .content:

// ❌ v5 (OLD)
{messages.map(m => (
  <div key={m.id}>{m.content}</div>
))}

// ✅ v6 (NEW)
{messages.map(m => (
  <div key={m.id}>
    {m.parts.map((part, i) => {
      if (part.type === 'text') return <span key={i}>{part.text}</span>;
      if (part.type === 'tool-invocation') return <ToolCall key={i} tool={part} />;
      if (part.type === 'file') return <FilePreview key={i} file={part} />;
      return null;
    })}
  </div>
))}

Part Types:

  • text - Text content with .text property
  • tool-invocation - Tool calls with .toolName, .args, .result
  • file - File attachments with .mimeType, .data
  • reasoning - Model reasoning (when available)
  • source - Source citations

3. Agent Integration Type-safe messaging with agents using InferAgentUIMessage<typeof agent>:

import { useChat } from '@ai-sdk/react';
import type { InferAgentUIMessage } from 'ai';
import { myAgent } from './agent';

export default function AgentChat() {
  const { messages, sendMessage } = useChat<InferAgentUIMessage<typeof myAgent>>({
    api: '/api/chat',
  });
  // messages are now type-checked against agent schema
}

4. Tool Approval Workflows (Human-in-the-Loop) Request user confirmation before executing tools:

import { useChat } from '@ai-sdk/react';
import { useState } from 'react';

export default function ChatWithApproval() {
  const { messages, sendMessage, addToolApprovalResponse } = useChat({
    api: '/api/chat',
  });

  const handleApprove = (toolCallId: string) => {
    addToolApprovalResponse({
      toolCallId,
      approved: true,  // or false to deny
    });
  };

  return (
    <div>
      {messages.map(message => (
        <div key={message.id}>
          {message.toolInvocations?.map(tool => (
            tool.state === 'awaiting-approval' && (
              <div key={tool.toolCallId}>
                <p>Approve tool call: {tool.toolName}?</p>
                <button onClick={() => handleApprove(tool.toolCallId)}>
                  Approve
                </button>
                <button onClick={() => addToolApprovalResponse({
                  toolCallId: tool.toolCallId,
                  approved: false
                })}>
                  Deny
                </button>
              </div>
            )
          ))}
        </div>
      ))}
    </div>
  );
}

5. Auto-Submit Capability Automatically continue conversation after handling approvals:

import { useChat, lastAssistantMessageIsCompleteWithApprovalResponses } from '@ai-sdk/react';

export default function AutoSubmitChat() {
  const { messages, sendMessage } = useChat({
    api: '/api/chat',
    sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithApprovalResponses,
    // Automatically resubmit after all approval responses provided
  });
}

6. Structured Output in Chat Generate structured data alongside tool calling (previously only available in useObject):

import { useChat } from '@ai-sdk/react';
import { z } from 'zod';

const schema = z.object({
  summary: z.string(),
  sentiment: z.enum(['positive', 'neutral', 'negative']),
});

export default function StructuredChat() {
  const { messages, sendMessage } = useChat({
    api: '/api/chat',
    // Server can now stream structured output with chat messages
  });
}

useChat Hook - v4 → v5 Breaking Changes

CRITICAL: useChat no longer manages input state in v5!

v4 (OLD - DON'T USE):

const { messages, input, handleInputChange, handleSubmit, append } = useChat();

<form onSubmit={handleSubmit}>
  <input value={input} onChange={handleInputChange} />
</form>

v5 (NEW - CORRECT):

const { messages, sendMessage } = useChat();
const [input, setInput] = useState('');

<form onSubmit={(e) => {
  e.preventDefault();
  sendMessage({ content: input });
  setInput('');
}}>
  <input value={input} onChange={(e) => setInput(e.target.value)} />
</form>

Summary of v5 Changes:

  1. Input management removed: input, handleInputChange, handleSubmit no longer exist
  2. append() → sendMessage(): New method for sending messages
  3. onResponse removed: Use onFinish instead
  4. initialMessages → controlled mode: Use messages prop for full control
  5. maxSteps removed: Handle on server-side only

See references/use-chat-migration.md for complete migration guide.


useAssistant Hook (Deprecated)

⚠️ Deprecation Notice: useAssistant is deprecated as of AI SDK v5. OpenAI Assistants API v2 will sunset on August 26, 2026. For new projects, use useChat with custom backend logic instead. See the openai-assistants skill for migration guidance.

Interact with OpenAI-compatible assistant APIs with automatic UI state management.

Import:

import { useAssistant } from '@ai-sdk/react';

Basic Usage:

'use client';
import { useAssistant } from '@ai-sdk/react';
import { useState, FormEvent } from 'react';

export default function AssistantChat() {
  const { messages, sendMessage, isLoading, error } = useAssistant({
    api: '/api/assistant',
  });
  const [input, setInput] = useState('');

  const handleSubmit = (e: FormEvent) => {
    e.preventDefault();
    sendMessage({ content: input });
    setInput('');
  };

  return (
    <div>
      {messages.map(m => (
        <div key={m.id}>
          <strong>{m.role}:</strong> {m.content}
        </div>
      ))}
      <form onSubmit={handleSubmit}>
        <input
          value={input}
          onChange={(e) => setInput(e.target.value)}
          disabled={isLoading}
        />
      </form>
      {error && <div>{error.message}</div>}
    </div>
  );
}

Use Cases:

  • Building OpenAI Assistant-powered UIs
  • Managing assistant threads and runs
  • Streaming assistant responses with UI state management
  • File search and code interpreter integrations

See official docs for complete API reference: https://ai-sdk.dev/docs/reference/ai-sdk-ui/use-assistant


Top UI Errors & Solutions

See references/top-ui-errors.md for complete documentation. Quick reference:

1. useChat Failed to Parse Stream

Error: SyntaxError: Unexpected token in JSON at position X

Cause: API route not returning proper stream format.

Solution:

// ✅ CORRECT
return result.toDataStreamResponse();

// ❌ WRONG
return new Response(result.textStream);

2. useChat No Response

Cause: API route not streaming correctly.

Solution:

// App Router - use toDataStreamResponse()
export async function POST(req: Request) {
  const result = streamText({ /* ... */ });
  return result.toDataStreamResponse(); // ✅
}

// Pages Router - use pipeDataStreamToResponse()
export default async function handler(req, res) {
  const result = streamText({ /* ... */ });
  return result.pipeDataStreamToResponse(res); // ✅
}

3. Streaming Not Working When Deployed

Cause: Deployment platform buffering responses.

Solution: Vercel auto-detects streaming. Other platforms may need configuration.

4. Stale Body Values with useChat

Cause: body option captured at first render only.

Solution:

// ❌ WRONG - body captured once
const { userId } = useUser();
const { messages } = useChat({
  body: { userId },  // Stale!
});

// ✅ CORRECT - use controlled mode
const { userId } = useUser();
const { messages, sendMessage } = useChat();

sendMessage({
  content: input,
  data: { userId },  // Fresh on each send
});

5. React Maximum Update Depth

Cause: Infinite loop in useEffect.

Solution:

// ❌ WRONG
useEffect(() => {
  saveMessages(messages);
}, [messages, saveMessages]); // saveMessages triggers re-render!

// ✅ CORRECT
useEffect(() => {
  saveMessages(messages);
}, [messages]); // Only depend on messages

See references/top-ui-errors.md for 13 more common errors (18 total documented).


Streaming Best Practices

Performance

Always use streaming for better UX:

// ✅ GOOD - Streaming (shows tokens as they arrive)
const { messages } = useChat({ api: '/api/chat' });

// ❌ BAD - Non-streaming (user waits for full response)
const response = await fetch('/api/chat', { method: 'POST' });

UX Patterns

Show loading states:

{isLoading && <div>AI is typing...</div>}

Provide stop button:

{isLoading && <button onClick={stop}>Stop</button>}

Auto-scroll to latest message:

useEffect(() => {
  messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' });
}, [messages]);

Disable input while loading:

<input disabled={isLoading} />

See references/streaming-patterns.md for comprehensive best practices.


React Strict Mode Considerations

React Strict Mode intentionally double-invokes effects to catch bugs. When using useChat or useCompletion in effects (auto-resume, initial messages), guard against double execution to prevent duplicate API calls and token waste.

Problem:

'use client';
import { useChat } from '@ai-sdk/react';
import { useEffect } from 'react';

export default function Chat() {
  const { messages, sendMessage, resumeStream } = useChat({
    api: '/api/chat',
    resume: true,
  });

  useEffect(() => {
    // ❌ Triggers twice in strict mode → two concurrent streams
    sendMessage({ content: 'Hello' });
    // or
    resumeStream();
  }, []);
}

Solution:

// ✅ Use ref to track execution
import { useRef } from 'react';

const hasSentRef = useRef(false);

useEffect(() => {
  if (hasSentRef.current) return;
  hasSentRef.current = true;

  sendMessage({ content: 'Hello' });
}, []);

// For resumeStream specifically:
const hasResumedRef = useRef(false);

useEffect(() => {
  if (!autoResume || hasResumedRef.current || status === 'streaming') return;
  hasResumedRef.current = true;
  resumeStream();
}, [autoResume, resumeStream, status]);

Why It Happens: React Strict Mode double-invokes effects to surface side effects. The SDK doesn't guard against concurrent requests, so both invocations create separate streams that fight for state updates.

Impact: Duplicate messages, doubled token usage, race conditions causing TypeError: "Cannot read properties of undefined (reading 'state')".

Source: GitHub Issue #7891, Issue #6166


When to Use This Skill

Use ai-sdk-ui When:

  • Building React chat interfaces
  • Implementing AI completions in UI
  • Streaming AI responses to frontend
  • Building Next.js AI applications
  • Handling chat message state
  • Displaying tool calls in UI
  • Managing file attachments with AI
  • Migrating from v4 to v5 (UI hooks)
  • Encountering useChat/useCompletion errors

Don't Use When:

  • Need backend AI functionality → Use ai-sdk-core instead
  • Building non-React frontends (Svelte, Vue) → Check official docs
  • Need Generative UI / RSC → See https://ai-sdk.dev/docs/ai-sdk-rsc
  • Building native apps → Different SDK required

Related Skills:

  • ai-sdk-core - Backend text generation, structured output, tools, agents
  • Compose both for full-stack AI applications

Package Versions

Stable (v6 - Recommended):

{
  "dependencies": {
    "ai": "^6.0.8",
    "@ai-sdk/react": "^3.0.6",
    "@ai-sdk/openai": "^3.0.2",
    "react": "^18.3.0",
    "zod": "^3.24.2"
  }
}

Legacy (v5):

{
  "dependencies": {
    "ai": "^5.0.99",
    "@ai-sdk/react": "^1.0.0",
    "@ai-sdk/openai": "^2.0.68"
  }
}

Version Notes:

  • AI SDK v6.0.6 (stable, Jan 2026) - recommended for new projects
  • AI SDK v5.x (legacy) - still supported but not receiving new features
  • React 18.3+ / React 19 supported
  • Next.js 14+/15+ recommended
  • Zod 3.24.2+ for schema validation

Links to Official Documentation

Core UI Hooks:

Advanced Topics (Link Only):

Next.js Integration:

Migration & Troubleshooting:

Vercel Deployment:


Templates

This skill includes the following templates in templates/:

  1. use-chat-basic.tsx - Basic chat with manual input (v5 pattern)
  2. use-chat-tools.tsx - Chat with tool calling UI rendering
  3. use-chat-attachments.tsx - File attachments support
  4. use-completion-basic.tsx - Basic text completion
  5. use-object-streaming.tsx - Streaming structured data
  6. nextjs-chat-app-router.tsx - Next.js App Router complete example
  7. nextjs-chat-pages-router.tsx - Next.js Pages Router complete example
  8. nextjs-api-route.ts - API route for both App and Pages Router
  9. message-persistence.tsx - Save/load chat history
  10. custom-message-renderer.tsx - Custom message components with markdown
  11. package.json - Dependencies template

Reference Documents

See references/ for:

  • use-chat-migration.md - Complete v4→v5 migration guide
  • streaming-patterns.md - UI streaming best practices
  • top-ui-errors.md - 18 common UI errors with solutions
  • nextjs-integration.md - Next.js setup patterns
  • links-to-official-docs.md - Organized links to official docs

Production Tested: WordPress Auditor (https://wordpress-auditor.webfonts.workers.dev) Last verified: 2026-01-20 | Skill version: 3.1.0 | Changes: Updated to AI SDK v6.0.42 (+19 patches). Added React Strict Mode section. Expanded Issue #7 (stale body) with 3 workarounds. Added 6 new issues: TypeError with resume+onFinish (#13), concurrent sendMessage state corruption (#14), tool approval callback edge case (#15), ZodError on early stop (#16), convertToModelMessages tool approval bug (#17), undefined id infinite loop (#18). Error count: 12→18.

平台分布

Claude Code

30.69%
按下载量换算1,310

Cursor

23.12%
按下载量换算987

Gemini CLI

17.19%
按下载量换算734

Antigravity

13.89%
按下载量换算593

OpenCode

7.55%
按下载量换算322

Codex

3.88%
按下载量换算166

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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