Identify research queries, fetch top results, and synthesize sourced summaries.
npx skills add https://github.com/DotNetAge/mindx --skill deep-search-dotnetage
Please help me install this Agent Skill. Skill: deep_search Source: https://github.com/DotNetAge/mindx/tree/main/skills/deep_search Command: npx skills add https://github.com/DotNetAge/mindx --skill deep-search-dotnetage
Web research often requires sifting through many pages and distilling key insights, which is time-consuming and error-prone.
Search for your topic and ask for a concise, sourced summary of the top results.
High-intent search queries and answers about installing and using this skill.
To get a concise AI web search summary, the system retrieves up to 20 web results, selects the 3 most relevant, fetches their content, and synthesizes a sourced briefing. This delivers a structured JSON output containing the summary, page contents, and elapsed processing time.
Yes, you can use AI to summarize web search results for literature background research. The system applies an LLM to retrieve sources and generate a multilingual, concise summary with structured reference links for easy verification.
The best way to distill key insights from multiple web pages is using an AI-driven deep search that automatically filters up to 20 results down to the top 3 most relevant pages. It then synthesizes the fetched content into a concise summary.
The deep search summarize process returns a structured JSON that includes the synthesized summary alongside the fetched page contents of the top 3 selected relevant results. This allows you to verify the synthesized answer against the original sources.
A limitation of this AI web search synthesis is that it restricts the final analysis to only the top 3 most relevant pages out of the initial 20 retrieved results. This ensures concise summaries but may omit peripheral details from lower-ranked sources.
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