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Found 980 Skills
Research libraries, APIs, and patterns using searchGitHub and Exa tools. Finds real-world implementations and saves structured reports to docs/research/. Use when investigating technologies, debugging issues, or comparing options.
Write documentation with real, validated examples. Executes commands through the user to capture actual output. Use for any new documentation or major doc updates.
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".
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'.
Deploy Exa integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Exa-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy exa", "exa Vercel", "exa production deploy", "exa Cloud Run", "exa Fly.io".
Advanced Exa AI search with 5 specialized scripts for neural web search, content extraction, similar page discovery, quick research with citations, and async pro research with structured output. This skill should be used when performing web searches, extracting content from URLs, finding similar pages, or conducting AI-powered research. Provides full access to all Exa API endpoints including /search, /contents, /findSimilar, /answer, and /research/v1.
Semantic search skill using Exa API for embeddings-based search, similar content discovery, and structured research. Use when you need semantic search, find similar pages, or category-specific searches. Triggers: exa, semantic search, find similar, research paper, github search, 语义搜索, 相似内容
Create organized, visual study notes with folder structures, diagrams, and example-based learning from source materials (PDFs, lecture notes, documentation). Use when creating structured learning materials, exam preparation notes, or educational documentation. Triggers - organize study notes, create visual learning materials, generate notes with diagrams, exam prep notes, example-based learning.
Agent-native CLI for Exa web search and content retrieval workflows.
Generate LaTeX exam cheatsheets from course materials (PDF/PPTX/MD/images). Use when user says "generate cheatsheet", "make a cheat sheet", "create exam reference sheet", "condense notes", or has course materials to turn into a compact LaTeX review sheet for exams.
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.
Automate Exa tasks via Rube MCP (Composio). Always search tools first for current schemas.