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orthogonal-sh
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linkup

Search the web and fetch URL content with configurable parameters.

12|4|Updated Feb 12, 2026
Search Tags:#research#search#fetch#web#structured-output#urls#content-extraction
One-click install
npx skills add https://github.com/orthogonal-sh/skills --skill linkup-orthogonal-sh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: linkup
Source: https://github.com/orthogonal-sh/skills/tree/main/skills/orthogonal-linkup
Command: npx skills add https://github.com/orthogonal-sh/skills --skill linkup-orthogonal-sh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Web researchers waste time manually searching and collecting content from URLs. This skill automates web search and content retrieval to streamline research workflows.

Core Features & Use Cases

  • Web search across sources and fetch page content from URLs for summarization, research, and monitoring.
  • Supports structured output and easy integration into data pipelines and knowledge bases.
  • Use Case: A researcher needs to gather latest articles on AI ethics and extract main text for quick summaries.

Quick Start

Search for the latest AI ethics developments and fetch the most relevant article content.

Frequently Asked Questions about linkup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fetch web search results and extract content from URLs for research?▼

Web search and content fetch streamline research workflows by querying sources with parameters like depth and outputType, then extracting main text from URLs for fast summarization and analysis.

Can I apply domain filters and date ranges to web search queries?▼

Yes, web search supports optional domain filters and date ranges to narrow results, enabling targeted content extraction from specific sources and timeframes for focused research.

What's the best way to structure web content extraction for data pipelines?▼

Structured output from content extraction supports easy integration into data pipelines and knowledge bases, converting fetched web page content into formatted data for downstream processing.

Does this web search skill work for monitoring topics across multiple sources?▼

Web search and content fetch support monitoring use cases by querying across sources and extracting page content, suitable for tracking developments like latest articles on specific topics over time.

How to use web search for gathering and summarizing articles on a specific topic?▼

Search for articles using query parameters like q and depth, then fetch the most relevant page content to extract main text for quick summaries, streamlining the research and collection workflow.

When should I use structured output instead of raw content extraction from URLs?▼

Use structured output when integrating fetched web content into data pipelines or knowledge bases, as it formats extracted data for programmatic access rather than returning raw page text.

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