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Found 947 Skills
Exa AI-native semantic search via Composio API. Use when: (1) Searching the web with natural language queries (2) Getting citation-backed answers to research questions (3) Finding pages similar to a given URL (4) Retrieving full content from search results Exa understands meaning - queries don't need exact keyword matches.
AI-powered web search via Exa with content extraction. Use when user says "exa search", "web search with content", "find similar pages", or needs broad web results beyond academic databases (arXiv, Semantic Scholar).
Self-correcting outreach loop using Exa Websets, Notion, direct Gmail SMTP, and IMAP audit. Defaults to Oulang.ai VC pre-seed raise plus Spanish-Chinese diaspora partnerships, parameterizable for any campaign. Triggers on "next wave", "audit replies", "find more investors", "outreach wave", "follow up unreplied", "fix the previous batch".
Deep research powered by Exa. Use for lead generation, literature reviews, deep dives, competitive analysis, or any query where one search falls short, including phrases like 'research this', 'find everything about', 'find me all', or 'deep dive on'.
Exa.ai deep research and answer generation with citations. Use when building research automation, implementing Answer API for Q&A with sources, creating research reports, or using deep search with summaries. Triggers on: Exa Answer, answer endpoint, exa.answer, deep search, research API, Exa Research, async research, research report, citation extraction, summarization with sources, fact verification, streaming answers, research tasks.
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.
Exabeam integration. Manage data, records, and automate workflows. Use when the user wants to interact with Exabeam data.
Apply Exa advanced debugging techniques for hard-to-diagnose issues. Use when standard troubleshooting fails, investigating complex race conditions, or preparing evidence bundles for Exa support escalation. Trigger with phrases like "exa hard bug", "exa mystery error", "exa impossible to debug", "difficult exa issue", "exa deep debug".
Systematically gather comprehensive travel itinerary requirements through structured discovery questions, MCP-powered research (Perplexity, Exa), and expert detail gathering. Use when users request travel planning, itinerary creation, or trip assistance requiring deep research and personalized requirements gathering. Outputs detailed requirements specification with day-by-day itineraries.
Exact Online integration. Manage Organizations. Use when the user wants to interact with Exact Online data.
Use GitHub MCP, Context7 MCP, and Exa WebSearch MCP to search and answer based on problem scenarios. This skill must be used when users require web retrieval, GitHub project lookup, source code verification, framework or SDK document lookup, API usage lookup, global information lookup, official websites, blogs, product information, news, or comparison materials. This skill strictly prohibits Bash, subagent, and ordinary file retrieval tools from participating in external searches.
Build RAG pipelines with Exa.ai for real-time web retrieval. Use when building retrieval-augmented generation, integrating Exa with LangChain, LlamaIndex, Vercel AI SDK, or implementing AI agents with web search capabilities. Triggers on: RAG pipeline, retrieval augmented generation, Exa LangChain, Exa LlamaIndex, ExaSearchRetriever, ExaSearchResults, Exa MCP, Exa tool calling, Claude tool use, AI agent web search, grounded generation, citation generation, fact checking, hallucination detection, OpenAI compatibility, chat completions.