{"enrichment":{"faq":[{"a":"exa-search is a skill providing patterns for integrating Exa.ai's search API into applications using Python (exa_py) or TypeScript (exa-js). It covers search modes\u2014auto, neural, and keyword\u2014along with domain and date filtering, text extraction, summaries, and highlights to help you retrieve and process web content effectively.","q":"What is exa-search and how do I integrate it into my application?"},{"a":"exa-search supports three search modes. Auto mode automatically selects the best approach, neural search uses semantic understanding for conceptual queries, and keyword search matches exact terms. Choose based on your query type: use neural for conceptual searches, keyword for precise term matching, or auto to let Exa decide.","q":"How do I choose between auto, neural, and keyword search modes in exa-search?"},{"a":"Yes, exa-search enables filtering search results by domain (include or exclude specific domains), date ranges, and text criteria. These filters help narrow results to relevant content from trusted sources within your desired timeframe, making it easier to find exactly what you need.","q":"Can I filter exa-search results by domain, date, and text criteria?"},{"a":"exa-search retrieves web content through the Exa API and extracts key information including text, summaries, and highlights. You can access full page content, auto-generated summaries for quick overviews, and highlighted sections matching your query terms for efficient content processing.","q":"How does exa-search retrieve and extract web content from search results?"},{"a":"exa-search includes a find similar feature that discovers web pages semantically related to a given URL or content. This helps you locate alternative sources, related articles, or comparable resources without writing a new search query.","q":"What is the find similar links feature in exa-search?"},{"a":"Yes, exa-search is released under the MIT license, making it free to use, modify, and distribute in both open-source and commercial projects with minimal restrictions.","q":"Is exa-search open source and what license does it use?"}],"shadow_tags":["semantic-search","web-scraping","api-integration","rag-retrieval","content-extraction","search-filtering","multi-language-queries","relevance-ranking","sdk-libraries"],"summary_rewrite":"This skill provides patterns for integrating Exa.ai's search API into applications using Python (exa_py) or TypeScript (exa-js). It covers search modes\u2014auto, neural, and keyword\u2014along with domain and date filtering, text extraction, summaries, and highlights to help you retrieve and process web content effectively."},"files":[{"bytes":3729,"path":"exa/skills/exa-search/SKILL.md","sha256":"887b378f2bf90c944018281eb541e1bfd6f4dab977b1b8f487bb626af5b0797b","url":"https://skillfed.io/files/ejirocodes/agent-skills/exa-search/04a85301/SKILL.md"}],"id":"ejirocodes/agent-skills/exa-search","links":{"html":"https://skillfed.io/ejirocodes/agent-skills/exa-search","md":"https://skillfed.io/ejirocodes/agent-skills/exa-search.md","repo":"https://github.com/ejirocodes/agent-skills"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":0,"language":null,"last_updated":"2026-06-25","license":"MIT","name":"exa-search","publisher":"ejirocodes","stars":5},"relations":{"similar":[{"id":"ejirocodes/agent-skills/exa-research"},{"id":"ejirocodes/agent-skills/exa-entities"},{"id":"tristanmanchester/agent-skills/exa-search"},{"id":"affaan-m/ECC/exa-search"},{"id":"ejirocodes/agent-skills/exa-rag"},{"id":"BenedictKing/exa-search/exa-search"},{"id":"wanshuiyin/Auto-claude-code-research-in-sleep/exa-search"},{"id":"gooseworks-ai/goose-skills/web-search-exa"},{"id":"K-Dense-AI/scientific-agent-skills/exa-search"},{"id":"mxyhi/ok-skills/exa-search"}]},"slug":{"owner":"ejirocodes","repo":"agent-skills","skill":"exa-search"},"version":"04a85301"}