Perform web searches and extract real-time data using Linkup.
npx skills add https://github.com/LinkupPlatform/skills --skill linkup-search
Please help me install this Agent Skill. Skill: linkup-search Source: https://github.com/LinkupPlatform/skills/tree/main/linkup-search Command: npx skills add https://github.com/LinkupPlatform/skills --skill linkup-search
This skill enables AI agents to perform accurate web searches and extract real-time data using Linkup, guiding query construction, depth selection, and fetch workflows to produce reliable results.
Ask the agent to perform a deep search for a topic and extract structured results using Linkup.
High-intent search queries and answers about installing and using this skill.
Real-time web search and data extraction can be performed by integrating Linkup search and fetch endpoints, enabling agents to retrieve current information for company research and data enrichment.
Constructing effective web search queries requires applying specific guidelines for query formation, selecting appropriate search depth levels, and choosing correct output types to ensure accurate real-time data retrieval.
Search depth is controlled by selecting between fast, standard, and deep modes during query construction, allowing you to balance retrieval speed against the comprehensiveness of real-time web data extraction.
Sequential search and multi-query coverage are advanced techniques supported for real-time web search, broadening result coverage and improving the accuracy of extracted data across multiple queries.
Fast search depth prioritizes retrieval speed over comprehensive data extraction, which may limit the thoroughness of real-time web search results compared to using standard or deep search modes.
refly-aiPerform real-time web searches and batch research queries via Perplexity.
h4vzzGenerate data-driven reports from JSON, CSV, or API payloads.
yasinnertenTest HTML parsing and data extraction logic against diverse HTML structures.
CraftOS-devSearch the web for text, news, images, and videos via DuckDuckGo.
