Perform web searches and return ranked results with snippets, URLs, and thumbnails.
npx skills add https://github.com/rupertsworld/skills --skill web-search-rupertsworld
Please help me install this Agent Skill. Skill: web-search Source: https://github.com/rupertsworld/skills/tree/main/web-search Command: npx skills add https://github.com/rupertsworld/skills --skill web-search-rupertsworld
Automates web search interactions by returning ranked results with content-snippets, URLs, and thumbnails, enabling richer AI grounding and decision-making.
Search the web for a topic and return ranked results with snippets and thumbnails.
High-intent search queries and answers about installing and using this skill.
Ranked web search results with snippets are returned via Brave-style endpoints, providing titles, URLs, descriptions, and thumbnails for AI grounding. The results support freshness filters and SafeSearch parameters to refine the output for specific queries.
Yes, custom ranking and SafeSearch filters can be applied to web search results using Goggles and the safesearch parameter. Goggles allow custom ranking adjustments while SafeSearch controls explicit content filtering across diverse queries.
Yes, the web search approach supports pagination and language parameters using offset and count for pagination, alongside search_lang and ui_lang for language settings. This enables structured retrieval of web results across multiple pages and languages.
The best way to retrieve fresh web search data for research summaries is by using the freshness filter parameter. This constrains results to specific timeframes, returning a structured web.results array with age and language metadata for accurate decision support.
Structured web search snippets improve AI agent grounding by providing extra snippets and fetch metadata alongside titles and URLs. This rich content enables AI agents to process contextual search data efficiently for quick decision support and research summaries.
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