MCPInstall

web-search

by answerzhaoProductivity & Automation

Implement web search capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to search the web, retrieve current information, find relevant content, or build applications with real-time web search functionality. Returns structured search results with URLs, snippets, and metadata.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/answerzhao/agent-skills --skill web-search
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads web-search automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Web Search Skill

This skill guides the implementation of web search functionality using the z-ai-web-dev-sdk package, enabling applications to search the web and retrieve current information.

Installation Path

Recommended Location: {project_path}/skills/web-search

Extract this skill package to the above path in your project.

Reference Scripts: Example test scripts are available in the {project_path}/skills/web-search/scripts/ directory for quick testing and reference. See {project_path}/skills/web-search/scripts/web_search.ts for a working example.

Overview

The Web Search skill allows you to build applications that can search the internet, retrieve current information, and access real-time data from web sources.

IMPORTANT: z-ai-web-dev-sdk MUST be used in backend code only. Never use it in client-side code.

Prerequisites

The z-ai-web-dev-sdk package is already installed. Import it as shown in the examples below.

CLI Usage (For Simple Tasks)

For simple web search queries, you can use the z-ai CLI instead of writing code. This is ideal for quick information retrieval, testing search functionality, or command-line automation.

Basic Web Search

# Simple search query
z-ai function --name "web_search" --args '{"query": "artificial intelligence"}'

# Using short options
z-ai function -n web_search -a '{"query": "latest tech news"}'

Search with Custom Parameters

# Limit number of results
z-ai function \
  -n web_search \
  -a '{"query": "machine learning", "num": 5}'

# Search with recency filter (results from last N days)
z-ai function \
  -n web_search \
  -a '{"query": "cryptocurrency news", "num": 10, "recency_days": 7}'

Save Search Results

# Save results to JSON file
z-ai function \
  -n web_search \
  -a '{"query": "climate change research", "num": 5}' \
  -o search_results.json

# Recent news with file output
z-ai function \
  -n web_search \
  -a '{"query": "AI breakthroughs", "num": 3, "recency_days": 1}' \
  -o ai_news.json

Advanced Search Examples

# Search for specific topics
z-ai function \
  -n web_search \
  -a '{"query": "quantum computing applications", "num": 8}' \
  -o quantum.json

# Find recent scientific papers
z-ai function \
  -n web_search \
  -a '{"query": "genomics research", "num": 5, "recency_days": 30}' \
  -o genomics.json

# Technology news from last 24 hours
z-ai function \
  -n web_search \
  -a '{"query": "tech industry updates", "recency_days": 1}' \
  -o today_tech.json

CLI Parameters

  • --name, -n: Required - Function name (use "web_search")
  • --args, -a: Required - JSON arguments object with:
    • query (string, required): Search keywords
    • num (number, optional): Number of results (default: 10)
    • recency_days (number, optional): Filter results from last N days
  • --output, -o <path>: Optional - Output file path (JSON format)

Search Result Structure

Each result contains:

  • url: Full URL of the result
  • name: Title of the page
  • snippet: Preview text/description
  • host_name: Domain name
  • rank: Result ranking
  • date: Publication/update date
  • favicon: Favicon URL

When to Use CLI vs SDK

Use CLI for:

  • Quick information lookups
  • Testing search queries
  • Simple automation scripts
  • One-off research tasks

Use SDK for:

  • Dynamic search in applications
  • Multi-step search workflows
  • Custom result processing and filtering
  • Production applications with complex logic

Search Result Type

Each search result is a SearchFunctionResultItem with the following structure:

interface SearchFunctionResultItem {
  url: string;          // Full URL of the result
  name: string;         // Title of the page
  snippet: string;      // Preview text/description
  host_name: string;    // Domain name
  rank: number;         // Result ranking
  date: string;         // Publication/update date
  favicon: string;      // Favicon URL
}

Basic Web Search

Simple Search Query

import ZAI from 'z-ai-web-dev-sdk';

async function searchWeb(query) {
  const zai = await ZAI.create();

  const results = await zai.functions.invoke('web_search', {
    query: query,
    num: 10
  });

  return results;
}

// Usage
const searchResults = await searchWeb('What is the capital of France?');
console.log('Search Results:', searchResults);

Search with Custom Result Count

import ZAI from 'z-ai-web-dev-sdk';

async function searchWithLimit(query, numberOfResults) {
  const zai = await ZAI.create();

  const results = await zai.functions.invoke('web_search', {
    query: query,
    num: numberOfResults
  });

  return results;
}

// Usage - Get top 5 results
const topResults = await searchWithLimit('artificial intelligence news', 5);

// Usage - Get top 20 results
const moreResults = await searchWithLimit('JavaScript frameworks', 20);

Formatted Search Results

import ZAI from 'z-ai-web-dev-sdk';

async function getFormattedResults(query) {
  const zai = await ZAI.create();

  const results = await zai.functions.invoke('web_search', {
    query: query,
    num: 10
  });

  // Format results for display
  const formatted = results.map((item, index) => ({
    position: index + 1,
    title: item.name,
    url: item.url,
    description: item.snippet,
    domain: item.host_name,
    publishDate: item.date
  }));

  return formatted;
}

// Usage
const results = await getFormattedResults('climate change solutions');
results.forEach(result => {
  console.log(`${result.position}. ${result.title}`);
  console.log(`   ${result.url}`);
  console.log(`   ${result.description}`);
  console.log('');
});

Advanced Use Cases

Search with Result Processing

import ZAI from 'z-ai-web-dev-sdk';

class SearchProcessor {
  constructor() {
    this.zai = null;
  }

  async initialize() {
    this.zai = await ZAI.create();
  }

  async search(query, options = {}) {
    const {
      num = 10,
      filterDomain = null,
      minSnippetLength = 0
    } = options;

    const results = await this.zai.functions.invoke('web_search', {
      query: query,
      num: num
    });

    // Filter results
    let filtered = results;

    if (filterDomain) {
      filtered = filtered.filter(item => 
        item.host_name.includes(filterDomain)
      );
    }

    if (minSnippetLength > 0) {
      filtered = filtered.filter(item => 
        item.snippet.length >= minSnippetLength
      );
    }

    return filtered;
  }

  extractDomains(results) {
    return [...new Set(results.map(item => item.host_name))];
  }

  groupByDomain(results) {
    const grouped = {};
    
    results.forEach(item => {
      if (!grouped[item.host_name]) {
        grouped[item.host_name] = [];
      }
      grouped[item.host_name].push(item);
    });

    return grouped;
  }

  sortByDate(results, ascending = false) {
    return results.sort((a, b) => {
      const dateA = new Date(a.date);
      const dateB = new Date(b.date);
      return ascending ? dateA - dateB : dateB - dateA;
    });
  }
}

// Usage
const processor = new SearchProcessor();
await processor.initialize();

const results = await processor.search('machine learning tutorials', {
  num: 15,
  minSnippetLength: 50
});

console.log('Domains found:', processor.extractDomains(results));
console.log('Grouped by domain:', processor.groupByDomain(results));
console.log('Sorted by date:', processor.sortByDate(results));

News Search

import ZAI from 'z-ai-web-dev-sdk';

async function searchNews(topic, timeframe = 'recent') {
  const zai = await ZAI.create();

  // Add time-based keywords to query
  const timeKeywords = {
    recent: 'latest news',
    today: 'today news',
    week: 'this week news',
    month: 'this month news'
  };

  const query = `${topic} ${timeKeywords[timeframe] || timeKeywords.recent}`;

  const results = await zai.functions.invoke('web_search', {
    query: query,
    num: 10
  });

  // Sort by date (most recent first)
  const sortedResults = results.sort((a, b) => {
    return new Date(b.date) - new Date(a.date);
  });

  return sortedResults;
}

// Usage
const aiNews = await searchNews('artificial intelligence', 'today');
const techNews = await searchNews('technology', 'week');

console.log('Latest AI News:');
aiNews.forEach(item => {
  console.log(`${item.name} (${item.date})`);
  console.log(`${item.snippet}\n`);
});

Research Assistant

import ZAI from 'z-ai-web-dev-sdk';

class ResearchAssistant {
  constructor() {
    this.zai = null;
  }

  async initialize() {
    this.zai = await ZAI.create();
  }

  async researchTopic(topic, depth = 'standard') {
    const numResults = {
      quick: 5,
      standard: 10,
      deep: 20
    };

    const results = await this.zai.functions.invoke('web_search', {
      query: topic,
      num: numResults[depth] || 10
    });

    // Analyze results
    const analysis = {
      topic: topic,
      totalResults: results.length,
      sources: this.extractDomains(results),
      topResults: results.slice(0, 5).map(r => ({
        title: r.name,
        url: r.url,
        summary: r.snippet
      })),
      dateRange: this.getDateRange(results)
    };

    return analysis;
  }

  extractDomains(results) {
    const domains = {};
    results.forEach(item => {
      domains[item.host_name] = (domains[item.host_name] || 0) + 1;
    });
    return domains;
  }

  getDateRange(results) {
    const dates = results
      .map(r => new Date(r.date))
      .filter(d => !isNaN(d));

    if (dates.length === 0) return null;

    return {
      earliest: new Date(Math.min(...dates)),
      latest: new Date(Math.max(...dates))
    };
  }

  async compareTopics(topic1, topic2) {
    const [results1, results2] = await Promise.all([
      this.zai.functions.invoke('web_search', { query: topic1, num: 10 }),
      this.zai.functions.invoke('web_search', { query: topic2, num: 10 })
    ]);

    const domains1 = new Set(results1.map(r => r.host_name));
    const domains2 = new Set(results2.map(r => r.host_name));

    const commonDomains = [...domains1].filter(d => domains2.has(d));

    return {
      topic1: {
        name: topic1,
        results: results1.length,
        uniqueDomains: domains1.size
      },
      topic2: {
        name: topic2,
        results: results2.length,
        uniqueDomains: domains2.size
      },
      commonDomains: commonDomains
    };
  }
}

// Usage
const assistant = new ResearchAssistant();
await assistant.initialize();

const research = await assistant.researchTopic('quantum computing', 'deep');
console.log('Research Analysis:', research);

const comparison = await assistant.compareTopics(
  'renewable energy',
  'solar power'
);
console.log('Topic Comparison:', comparison);

Search Result Validation

import ZAI from 'z-ai-web-dev-sdk';

async function validateSearchResults(query) {
  const zai = await ZAI.create();

  const results = await zai.functions.invoke('web_search', {
    query: query,
    num: 10
  });

  // Validate and score results
  const validated = results.map(item => {
    let score = 0;
    let flags = [];

    // Check snippet quality
    if (item.snippet && item.snippet.length > 50) {
      score += 20;
    } else {
      flags.push('short_snippet');
    }

    // Check date availability
    if (item.date && item.date !== 'N/A') {
      score += 20;
    } else {
      flags.push('no_date');
    }

    // Check URL validity
    try {
      new URL(item.url);
      score += 20;
    } catch (e) {
      flags.push('invalid_url');
    }

    // Check domain quality (not perfect, but basic check)
    if (!item.host_name.includes('spam') && 
        !item.host_name.includes('ads')) {
      score += 20;
    } else {
      flags.push('suspicious_domain');
    }

    // Check title quality
    if (item.name && item.name.length > 10) {
      score += 20;
    } else {
      flags.push('short_title');
    }

    return {
      ...item,
      qualityScore: score,
      validationFlags: flags,
      isHighQuality: score >= 80
    };
  });

  // Sort by quality score
  return validated.sort((a, b) => b.qualityScore - a.qualityScore);
}

// Usage
const validated = await validateSearchResults('best programming practices');
console.log('High quality results:', 
  validated.filter(r => r.isHighQuality).length
);

Best Practices

1. Query Optimization

// Bad: Too vague
const bad = await searchWeb('information');

// Good: Specific and targeted
const good = await searchWeb('JavaScript async/await best practices 2024');

// Good: Include context
const goodWithContext = await searchWeb('React hooks tutorial for beginners');

2. Error Handling

import ZAI from 'z-ai-web-dev-sdk';

async function safeSearch(query, retries = 3) {
  let lastError;

  for (let attempt = 1; attempt <= retries; attempt++) {
    try {
      const zai = await ZAI.create();

      const results = await zai.functions.invoke('web_search', {
        query: query,
        num: 10
      });

      if (!Array.isArray(results) || results.length === 0) {
        throw new Error('No results found or invalid response');
      }

      return {
        success: true,
        results: results,
        attempts: attempt
      };
    } catch (error) {
      lastError = error;
      console.error(`Attempt ${attempt} failed:`, error.message);

      if (attempt < retries) {
        // Wait before retry (exponential backoff)
        await new Promise(resolve => setTimeout(resolve, 1000 * attempt));
      }
    }
  }

  return {
    success: false,
    error: lastError.message,
    attempts: retries
  };
}

3. Result Caching

import ZAI from 'z-ai-web-dev-sdk';

class CachedSearch {
  constructor(cacheDuration = 3600000) { // 1 hour default
    this.cache = new Map();
    this.cacheDuration = cacheDuration;
    this.zai = null;
  }

  async initialize() {
    this.zai = await ZAI.create();
  }

  getCacheKey(query, num) {
    return `${query}_${num}`;
  }

  async search(query, num = 10) {
    const cacheKey = this.getCacheKey(query, num);
    const cached = this.cache.get(cacheKey);

    // Check if cached and not expired
    if (cached && Date.now() - cached.timestamp < this.cacheDuration) {
      console.log('Returning cached results');
      return {
        ...cached.data,
        cached: true
      };
    }

    // Perform fresh search
    const results = await this.zai.functions.invoke('web_search', {
      query: query,
      num: num
    });

    // Cache results
    this.cache.set(cacheKey, {
      data: results,
      timestamp: Date.now()
    });

    return {
      results: results,
      cached: false
    };
  }

  clearCache() {
    this.cache.clear();
  }

  getCacheSize() {
    return this.cache.size;
  }
}

// Usage
const search = new CachedSearch(1800000); // 30 minutes cache
await search.initialize();

const result1 = await search.search('TypeScript tutorial');
console.log('Cached:', result1.cached); // false

const result2 = await search.search('TypeScript tutorial');
console.log('Cached:', result2.cached); // true

4. Rate Limiting

class RateLimitedSearch {
  constructor(requestsPerMinute = 60) {
    this.zai = null;
    this.requestsPerMinute = requestsPerMinute;
    this.requests = [];
  }

  async initialize() {
    this.zai = await ZAI.create();
  }

  async search(query, num = 10) {
    await this.checkRateLimit();

    const results = await this.zai.functions.invoke('web_search', {
      query: query,
      num: num
    });

    this.requests.push(Date.now());
    return results;
  }

  async checkRateLimit() {
    const now = Date.now();
    const oneMinuteAgo = now - 60000;

    // Remove requests older than 1 minute
    this.requests = this.requests.filter(time => time > oneMinuteAgo);

    if (this.requests.length >= this.requestsPerMinute) {
      const oldestRequest = this.requests[0];
      const waitTime = 60000 - (now - oldestRequest);
      
      console.log(`Rate limit reached. Waiting ${waitTime}ms`);
      await new Promise(resolve => setTimeout(resolve, waitTime));
      
      // Recheck after waiting
      return this.checkRateLimit();
    }
  }
}

Common Use Cases

  1. Real-time Information Retrieval: Get current news, stock prices, weather
  2. Research & Analysis: Gather information on specific topics
  3. Content Discovery: Find articles, tutorials, documentation
  4. Competitive Analysis: Research competitors and market trends
  5. Fact Checking: Verify information against web sources
  6. SEO & Content Research: Analyze search results for content strategy
  7. News Aggregation: Collect news from various sources
  8. Academic Research: Find papers, studies, and academic content

Integration Examples

Express.js Search API

import express from 'express';
import ZAI from 'z-ai-web-dev-sdk';

const app = express();
app.use(express.json());

let zaiInstance;

async function initZAI() {
  zaiInstance = await ZAI.create();
}

app.get('/api/search', async (req, res) => {
  try {
    const { q: query, num = 10 } = req.query;

    if (!query) {
      return res.status(400).json({ error: 'Query parameter "q" is required' });
    }

    const numResults = Math.min(parseInt(num) || 10, 20);

    const results = await zaiInstance.functions.invoke('web_search', {
      query: query,
      num: numResults
    });

    res.json({
      success: true,
      query: query,
      totalResults: results.length,
      results: results
    });
  } catch (error) {
    res.status(500).json({
      success: false,
      error: error.message
    });
  }
});

app.get('/api/search/news', async (req, res) => {
  try {
    const { topic, timeframe = 'recent' } = req.query;

    if (!topic) {
      return res.status(400).json({ error: 'Topic parameter is required' });
    }

    const timeKeywords = {
      recent: 'latest news',
      today: 'today news',
      week: 'this week news'
    };

    const query = `${topic} ${timeKeywords[timeframe] || timeKeywords.recent}`;

    const results = await zaiInstance.functions.invoke('web_search', {
      query: query,
      num: 15
    });

    // Sort by date
    const sortedResults = results.sort((a, b) => {
      return new Date(b.date) - new Date(a.date);
    });

    res.json({
      success: true,
      topic: topic,
      timeframe: timeframe,
      results: sortedResults
    });
  } catch (error) {
    res.status(500).json({
      success: false,
      error: error.message
    });
  }
});

initZAI().then(() => {
  app.listen(3000, () => {
    console.log('Search API running on port 3000');
  });
});

Search with AI Summary

import ZAI from 'z-ai-web-dev-sdk';

async function searchAndSummarize(query) {
  const zai = await ZAI.create();

  // Step 1: Search the web
  const searchResults = await zai.functions.invoke('web_search', {
    query: query,
    num: 10
  });

  // Step 2: Create summary using chat completions
  const searchContext = searchResults
    .slice(0, 5)
    .map((r, i) => `${i + 1}. ${r.name}\n${r.snippet}`)
    .join('\n\n');

  const completion = await zai.chat.completions.create({
    messages: [
      {
        role: 'assistant',
        content: 'You are a research assistant. Summarize search results clearly and concisely.'
      },
      {
        role: 'user',
        content: `Query: "${query}"\n\nSearch Results:\n${searchContext}\n\nProvide a comprehensive summary of these results.`
      }
    ],
    thinking: { type: 'disabled' }
  });

  const summary = completion.choices[0]?.message?.content;

  return {
    query: query,
    summary: summary,
    sources: searchResults.slice(0, 5).map(r => ({
      title: r.name,
      url: r.url
    })),
    totalResults: searchResults.length
  };
}

// Usage
const result = await searchAndSummarize('benefits of renewable energy');
console.log('Summary:', result.summary);
console.log('Sources:', result.sources);

Troubleshooting

Issue: "SDK must be used in backend"

  • Solution: Ensure z-ai-web-dev-sdk is only imported and used in server-side code

Issue: Empty or no results returned

  • Solution: Try different query terms, check internet connectivity, verify API status

Issue: Unexpected response format

  • Solution: Verify the response is an array, check for API changes, add type validation

Issue: Rate limiting errors

  • Solution: Implement request throttling, add delays between searches, use caching

Issue: Low quality search results

  • Solution: Refine query terms, filter results by domain or date, validate result quality

Performance Tips

  1. Reuse SDK Instance: Create ZAI instance once and reuse across searches
  2. Implement Caching: Cache search results to reduce API calls
  3. Optimize Query Terms: Use specific, targeted queries for better results
  4. Limit Result Count: Request only the number of results you need
  5. Parallel Searches: Use Promise.all for multiple independent searches
  6. Result Filtering: Filter results on client side when possible

Security Considerations

  1. Input Validation: Sanitize and validate user search queries
  2. Rate Limiting: Implement rate limits to prevent abuse
  3. API Key Protection: Never expose SDK credentials in client-side code
  4. Result Filtering: Filter potentially harmful or inappropriate content
  5. URL Validation: Validate URLs before redirecting users
  6. Privacy: Don't log sensitive user search queries

Remember

  • Always use z-ai-web-dev-sdk in backend code only
  • The SDK is already installed - import as shown in examples
  • Search results are returned as an array of SearchFunctionResultItem objects
  • Implement proper error handling and retries for production
  • Cache results when appropriate to reduce API calls
  • Use specific query terms for better search results
  • Validate and filter results before displaying to users
  • Check scripts/web_search.ts for a quick start example

FAQ

What does the web-search skill do?

Implement web search capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to search the web, retrieve current information, find relevant content, or build applications with real-time web search functionality. Returns structured search results with URLs, snippets, and metadata.

How do I install web-search?

Run npx skills add https://github.com/answerzhao/agent-skills --skill web-search in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/web-search/ (personal) or .claude/skills/web-search/ (project).

Which AI agents can use web-search?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is web-search safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains web-search?

It is published by answerzhao in answerzhao/agent-skills. It has 100 recorded installs.

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agent-browser

vercel-labs/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

OfficialProductivity & Automation1.3M installs

lark-doc

open.feishu.cn

飞书云文档（Docx / Wiki）内容操作：读取、创建、编辑文档，插入或下载图片附件，以及操作思维笔记。用户提供文档 URL/token（包括 doubao.com 的 /docx/、/wiki/）时使用；按 URL 路径/token 而非域名路由；/page/ 是妙搭应用，非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive；随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。

Productivity & Automation815.7K installs

lark-base

open.feishu.cn

飞书多维表格（Base）操作：建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式（BaseApp/AppMode 页面与组件）、Workspace 目录、workflow、角色权限、模板中心（多维表格模板分类/列表/搜索）；遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps；文件导入/导出转 lark-drive，认证/授权转 lark-shared。

Productivity & Automation815K installs

lark-drive

open.feishu.cn

飞书云空间（云盘/云存储）：管理 Drive 文件和文件夹，包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签（secure labels）和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题，或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用；doubao.com 云空间 URL/token 也按资源路径和 token 路由，不回退 WebFetch。不负责：文档内容编辑（走 lark-doc）、表格/Base 表内数据操作（走 lark-sheets/lark-base）、知识空间节点/成员管理（走 lark-wiki）、原生 Markdown 文件读写/patch/diff（走 lark-markdown）。

Productivity & Automation815K installs

lark-shared

open.feishu.cn

Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.

Productivity & Automation814.8K installs

lark-im

open.feishu.cn

飞书即时通讯：收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片（Interactive Card）、监听卡片按钮回调（card.action.trigger）。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶（添加/移除/查询置顶会话）、管理标签数据、处理卡片回调时使用。

Productivity & Automation814.1K installs