linkup

Research

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).

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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/Dicklesworthstone/pi_agent_rust/blob/HEAD/tests/ext_conformance/artifacts/npm/aliou-pi-linkup/skills/linkup/SKILL.md

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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

linkup_web_search to discover sources
linkup_web_fetch on promising URLs for full content

Quick facts

linkup_web_answer for direct answer with citations

Documentation reading

linkup_web_fetch on known documentation URL

Commands

/linkup:balance - Check remaining API credits