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web-search

web-search

github.com/jwyniaProductivity180777 installsUpdated 35w ago
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About web-search

web-search is a skill for using an agent’s built-in WebSearch tool to find and verify current web information. It suits research involving recent events or sources, without requiring an external API key.

Key features

  1. 01Search with built-in WebSearch
  2. 02Look up current information
  3. 03Iteratively refine queries
  4. 04Cross-check claims and cite sources

Use cases

  1. 01Research recent news or updates
  2. 02Verify facts and locate sources
  3. 03Find information missing from training data

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jwynia/agent-skills --skill web-search

After installing, type/web-searchin Claude Code to confirm it loaded.

Details

From the project README

Web Search

Search the web using the agent's built-in WebSearch capability. No external API keys required.

When to Use This Skill

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

How to Search

Use the agent's built-in WebSearch tool directly. The tool accepts a query string and returns relevant web results.

Basic Search

Simply invoke WebSearch with your query:

Query: "React 19 new features"
Effective Query Strategies

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"
When to Search Multiple Times

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

Output Handling

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
Source Attribution Format

When sharing information from search results:

According to [Source Name](URL), ...

Sources:
- [Title 1](url1)
- [Title 2](url2)

Limitations

  • 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)

Related Skills

  • 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

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