linkup

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Web search and content fetching using Linkup extension. Use when needing to search the web, get answers to questions with sources, or fetch content from specific URLs. Provides three tools: linkup_web_search (discovery), linkup_web_answer (direct answers), linkup_web_fetch (URL content extraction).

Dicklesworthstone By Dicklesworthstone schedule Updated 2/5/2026

name: linkup description: "Web search and content fetching using Linkup extension. Use when needing to search the web, get answers to questions with sources, or fetch content from specific URLs. Provides three tools: linkup_web_search (discovery), linkup_web_answer (direct answers), linkup_web_fetch (URL content extraction)."

Linkup Extension

Web search and content fetching tools powered by Linkup API.

Tools

linkup_web_search

Search the web and get sources with content snippets.

linkup_web_search(query: string, deep?: boolean)
  • query: Be specific and detailed. Include context like dates, locations, company names.
  • deep: Use for complex research requiring multiple searches. Default: false (faster).

Use when: Discovering information across multiple sources, researching topics, comparing perspectives.

linkup_web_answer

Get a synthesized answer with source citations.

linkup_web_answer(query: string, deep?: boolean)

Use when: Need a direct answer to a specific question, quick facts with citations.

linkup_web_fetch

Fetch content from a URL as clean markdown.

linkup_web_fetch(url: string, renderJs?: boolean)
  • url: The URL to fetch.
  • renderJs: Set false for static pages (faster). Default: true.

Use when: Reading documentation, following up on search results, extracting content from known URLs.

Tool Selection

Need Tool
Find information across sources linkup_web_search
Get a direct answer with sources linkup_web_answer
Read content from a known URL linkup_web_fetch

Query Formulation

Good queries are specific:

Bad Good
"Microsoft revenue" "Microsoft fiscal year 2024 total revenue"
"React hooks" "React useEffect cleanup function best practices"
"AI news" "OpenAI announcements January 2026"

Add context:

  • Time: "2025", "last quarter", "since version 5.0"
  • Location: "French company Total", "US market"
  • Specifics: company names, version numbers, exact terms

When to Use Deep Mode

Standard (default): Simple questions, quick lookups, known topics.

Deep: Complex research, multi-step queries, comprehensive coverage needed.

// Standard - one search is enough
linkup_web_search("Node.js 22 release date")

// Deep - needs multiple searches
linkup_web_search("comparison of Rust web frameworks performance benchmarks 2025", deep: true)

Common Patterns

Research workflow

  1. linkup_web_search to discover sources
  2. linkup_web_fetch on promising URLs for full content

Quick facts

  1. linkup_web_answer for direct answer with citations

Documentation reading

  1. linkup_web_fetch on known documentation URL

Commands

  • /linkup:balance - Check remaining API credits
Install via CLI
npx skills add https://github.com/Dicklesworthstone/pi_agent_rust --skill linkup
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