web-researcher

Automated web research uses the Serper API to retrieve search results, extract content from top pages, and generate structured summaries. This Skill conducts autonomous study sessions to produce concise insights for memory storage.

An autonomous study session is a workflow where the system reads, summarizes, and persists web insights into memory. It uses predefined topics to guide research and produces structured outputs for later recall and decision support.

Yes, a Serper API key is required to perform web search and information retrieval. The key enables the system to handle result retrieval, content extraction for top results, and optional knowledge-graph integration.

Yes, you can use predefined topics from a default configuration file to guide web research workflows. These topics direct the autonomous study sessions and information retrieval processes to generate targeted insights.

Store summarized web insights by returning the structured outputs from the study session into memory storage. The system processes search results and knowledge-graph data to persist organized knowledge for decision support.

Knowledge-graph integration enhances web research by adding structured data relationships to the standard search results. This optional feature supplements the extracted content from top results to provide deeper context for summaries.