🎁 Get the FREE AI Skills Starter Guide β€” Subscribe β†’
BytesAgainBytesAgain
BytesAgain β€Ί Skills β€Ί Web Searcher
πŸ¦€ ClawHub

Web Searcher

by @kassimisai

Autonomous web research agent that performs multi-step searches, follows links, extracts data, and synthesizes findings into structured reports. Use when asked to research a topic, find information across multiple sources, compare options, gather market data, compile lists, or answer questions requiring deep web investigation beyond a single search.

Versionv1.0.0
Downloads1,773
Installs5
#clawhub
TERMINAL
clawhub install web-searcher

πŸ“– About This Skill

name: web-searcher description: Autonomous web research agent that performs multi-step searches, follows links, extracts data, and synthesizes findings into structured reports. Use when asked to research a topic, find information across multiple sources, compare options, gather market data, compile lists, or answer questions requiring deep web investigation beyond a single search.

Web Searcher Agent

Workflow

1. Parse the query β€” Break the user's request into 2-5 specific search queries that cover different angles of the topic.

2. Search phase β€” Execute searches using web_search. Rate limit: max 3 searches, then assess before continuing.

3. Deep dive phase β€” For promising results, use web_fetch to extract full content. Prioritize: - Primary sources over aggregators - Recent content over old (check dates) - Authoritative domains over random blogs

4. Cross-reference β€” Compare findings across sources. Flag contradictions. Note consensus.

5. Synthesize β€” Compile findings into a clear, structured response with: - Key findings (bullet points) - Sources cited (URLs) - Confidence level (high/medium/low per claim) - Gaps identified (what couldn't be found)

Search Strategies

Factual queries

Search β†’ verify across 2+ sources β†’ report with citations.

Comparison/market research

Search each option separately β†’ fetch detail pages β†’ build comparison table β†’ recommend.

People/company research

Search name + context β†’ fetch LinkedIn/company pages β†’ cross-reference news β†’ compile profile.

How-to/technical

Search with specific technical terms β†’ fetch documentation/guides β†’ distill steps.

Guidelines

  • Max 10 searches per task to avoid rate limits and token waste.
  • Max 5 page fetches β€” be selective about which URLs to deep-dive.
  • Always include source URLs so the user can verify.
  • If a search returns nothing useful, rephrase and retry once before moving on.
  • For time-sensitive info, use freshness parameter (pd/pw/pm/py).
  • Prefer web_fetch with maxChars: 5000 to keep context manageable.
  • If the task is massive, suggest breaking it into sub-tasks or spawning sub-agents.

    • Output Format

    ## [Topic]
    Key Findings
    

  • Finding 1 (Source: url)
    • 

  • Finding 2 (Source: url)
    • Details
    
[Expanded analysis]
    Sources
    
1. Title β€” what was found here
2. Title β€” what was found here
    Confidence & Gaps
    

  • High confidence: [claims well-supported]
    • 

  • Low confidence: [claims with limited sources]
    • 

  • Not found: [what couldn't be determined]
    •