web-search

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Web Search

网页搜索

Search the web using the agent's built-in WebSearch capability. No external API keys required.
使用Agent内置的WebSearch功能搜索网页。无需外部API密钥。

When to Use This Skill

何时使用此技能

Use this skill when:
  • You need to find current information not in your training data
  • The user asks about recent events, news, or updates
  • You need to verify facts or find sources
  • Research requires real-time web data
Do NOT use this skill when:
  • Information is already in your knowledge base
  • You're working with local files or code
  • You need advanced filtering (use
    web-search-tavily
    instead)
  • A more specific research skill applies
在以下场景使用此技能:
  • 你需要查找训练数据中没有的最新信息
  • 用户询问近期事件、新闻或更新内容
  • 你需要验证事实或查找来源
  • 研究需要实时网络数据
请勿在以下场景使用此技能:
  • 信息已存在于你的知识库中
  • 你正在处理本地文件或代码
  • 你需要高级筛选功能(请改用
    web-search-tavily
  • 有更特定的研究技能适用

How to Search

如何进行搜索

Use the agent's built-in WebSearch tool directly. The tool accepts a query string and returns relevant web results.
直接使用Agent内置的WebSearch工具。该工具接受查询字符串并返回相关网页结果。

Basic Search

基础搜索

Simply invoke WebSearch with your query:
Query: "React 19 new features"
只需使用你的查询调用WebSearch:
Query: "React 19 new features"

Effective Query Strategies

高效查询策略

Be specific and include context:
  • Bad: "react hooks"
  • Good: "React 19 useActionState hook tutorial"
Include the year for current information:
  • Bad: "best TypeScript practices"
  • Good: "TypeScript best practices 2025"
Use domain-specific terms:
  • Bad: "how to make website fast"
  • Good: "web performance optimization Core Web Vitals"
明确具体并包含上下文:
  • 不佳示例:"react hooks"
  • 优质示例:"React 19 useActionState hook tutorial"
针对最新信息请包含年份:
  • 不佳示例:"best TypeScript practices"
  • 优质示例:"TypeScript best practices 2025"
使用领域特定术语:
  • 不佳示例:"how to make website fast"
  • 优质示例:"web performance optimization Core Web Vitals"

When to Search Multiple Times

何时需要多次搜索

Search iteratively when:
  1. Initial results are too broad → Refine with more specific terms
  2. Looking for multiple perspectives → Search different phrasings
  3. Verifying facts → Search for corroborating sources
  4. Deep research → Start broad, then drill into specifics
在以下情况进行迭代搜索:
  1. 初始结果过于宽泛 → 使用更具体的术语细化查询
  2. 寻求多种视角 → 使用不同措辞进行搜索
  3. 验证事实 → 搜索佐证来源
  4. 深度研究 → 从宽泛主题开始,然后逐步深入细节

Output Handling

结果处理

After receiving search results:
  1. Cite sources - Always include URLs when sharing information
  2. Synthesize - Combine information from multiple results
  3. Verify - Cross-reference claims across sources
  4. Date-check - Note publication dates for time-sensitive information
收到搜索结果后:
  1. 引用来源 - 分享信息时始终包含URL
  2. 综合信息 - 整合多个结果中的信息
  3. 验证内容 - 跨来源交叉核对主张
  4. 检查日期 - 标注时效性信息的发布日期

Source Attribution Format

来源标注格式

When sharing information from search results:
According to [Source Name](URL), ...

Sources:
- [Title 1](url1)
- [Title 2](url2)
分享搜索结果中的信息时,请使用以下格式:
根据[来源名称](URL),...

来源:
- [标题1](url1)
- [标题2](url2)

Limitations

局限性

  • Results depend on the agent's WebSearch implementation
  • Cannot access paywalled or login-required content
  • May not have the most recent information (depends on indexing)
  • No domain filtering or relevance scoring (use
    web-search-tavily
    for these features)
  • 搜索结果取决于Agent的WebSearch实现方式
  • 无法访问付费墙或需要登录的内容
  • 可能无法获取最新信息(取决于索引情况)
  • 不支持域名筛选或相关性评分(如需这些功能,请使用
    web-search-tavily

Related Skills

相关技能

  • web-search-tavily - Advanced search with API key, domain filtering, and relevance scores
  • research-workflow - Structured research with planning and synthesis
  • fact-check - Verify specific claims against sources
  • claim-investigation - Investigate viral claims and social media content
  • web-search-tavily - 需API密钥的高级搜索,支持域名筛选和相关性评分
  • research-workflow - 包含规划和信息综合的结构化研究
  • fact-check - 对照来源验证特定主张
  • claim-investigation - 调查 viral claims和社交媒体内容