Perform neural searches across web content, code, and company data.
npx skills add https://github.com/hector-manny/bussbot --skill exa-search-hector-manny
Please help me install this Agent Skill. Skill: exa-search Source: https://github.com/hector-manny/bussbot/tree/main/.cursor/.agents/skills/exa-search Command: npx skills add https://github.com/hector-manny/bussbot --skill exa-search-hector-manny
This Skill solves the problem of quickly finding and accessing information across web content, code, companies, and people. It simplifies complex research tasks by leveraging the power of Exa's neural search engine.
To start a deep research topic, use the exa-search skill by saying: "Research the latest advancements in AI research 2026."
High-intent search queries and answers about installing and using this skill.
Neural search for web content and company data is performed by querying the Exa MCP server, which retrieves comprehensive information using advanced filters like domain restrictions and date ranges.
Yes, neural search retrieves code context and documentation from sources like GitHub and Stack Overflow, allowing you to find specific code examples and technical references efficiently.
Setting up Exa MCP for information retrieval requires an active Exa API key and proper configuration to connect the server, enabling access to web, code, and company research features.
Yes, the neural search supports advanced filtering by specific domains, date ranges, and content tokens, allowing you to narrow down information retrieval results to highly relevant sources.
The best way to research complex topics is to initiate deep research agents, which process intricate queries asynchronously to gather and synthesize comprehensive information on the subject.
Yes, you can search for professional profiles and bios alongside accessing business intelligence and news on companies, providing comprehensive data for people and company research tasks.
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