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Found 952 Skills
Collect Exa debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Exa problems. Trigger with phrases like "exa debug", "exa support bundle", "collect exa logs", "exa diagnostic".
Technical research methodology using Context7, Exa, and Sequential Thinking for documentation, best practices, and complex investigations.
Configure Exa local development with hot reload and testing. Use when setting up a development environment, configuring test workflows, or establishing a fast iteration cycle with Exa. Trigger with phrases like "exa dev setup", "exa local development", "exa dev environment", "develop with exa".
Transform lecture materials (slides, PDFs, text snippets, transcripts) into comprehensive, exam-ready Markdown notes for Obsidian. Use when the user provides lecture content, study materials, or asks to take notes, summarize lectures, or create study guides. Outputs structured notes with key concepts, definitions, LaTeX math, and exam-important callouts.
Agent-native CLI for Exa web search and content retrieval workflows.
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.
Cram Engine - An AI tutor well-versed in learning science. Triggered when users mention terms like final exam cramming, final review, exam sprint, last-minute exam preparation, quick exam prep, intensive last-minute review, or use the /cram command. Based on six learning science principles including Cognitive Load Theory, Elaborative Processing, Generation Effect, and Retrieval Practice, it converts key points of university courses into efficient interactive learning sessions through a four-stage pipeline: deconstructing knowledge point tree → teaching each point individually → testing with real exam question types → diagnosing and filling knowledge gaps. Suitable for all qualitative knowledge-intensive university liberal arts courses.
Code context using Exa. Finds real snippets and docs from GitHub, StackOverflow, and technical docs. Use when searching for code examples, API syntax, library documentation, or debugging help.
Company research using Exa search. Finds company info, competitors, news, tweets, financials, LinkedIn profiles, builds company lists. Use when researching companies, doing competitor analysis, market research, or building company lists.
Deep research on technical topics using EXA tools with intelligent two-tier caching. Use when user asks to research a topic, investigate best practices, look up information, find patterns, or explore architectures. Also invoked by /research command. Triggers: "research", "look up", "investigate", "deep dive", "find information about", "what are best practices for", "how do others implement".
Implement Exa rate limiting, backoff, and idempotency patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Exa. Trigger with phrases like "exa rate limit", "exa throttling", "exa 429", "exa retry", "exa backoff".
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".