Skills your agents can run

AI builders digest — monitors top AI builders on X and YouTube podcasts, remixes their content into digestible summaries. Use when the user wants AI industry insights, builder updates, or invokes /ai. No API keys or dependencies required — all content is fetched from a central feed.

Company research using Exa search. Finds company info, competitors, news, tweets, financials, LinkedIn profiles, and builds company lists. Use when researching companies, performing competitor analysis, conducting market research, or building company lists.

Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says “search for”, “find me”, “look up”, “what's the latest on”, “find articles about”, or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.

Unified search skill with Intelligent Auto-Routing. Uses multi-signal analysis to automatically select between Serper (Google), Tavily (Research), Exa (Neural), You.com (RAG/Real-time), and SearXNG (Privacy/Self-hosted) with confidence scoring.

Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process: (1) create section outlines with key points using research-lookup, (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.

Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.

Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.

Freedom of Information Act (FOIA) and public records request workflows. Use when drafting records requests, tracking submissions, understanding exemptions, appealing denials, or managing large document productions. Essential for investigative journalists, researchers, and transparency advocates.

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, conducting literature reviews, finding related work, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, citation verification workflows, and paper discovery/evaluation criteria.

Search tweets and Twitter/X content using Exa advanced search. Limited filter support - text and domain filters are NOT supported. Use when searching for tweets, Twitter/X discussions, or social media sentiment.

USE FOR image search. Returns images with title, source URL, thumbnail. Supports SafeSearch filter. Up to 200 results.

Build document Q&A and searchable knowledge bases with Google Gemini File Search - fully managed RAG with automatic chunking, embeddings, and citations. Upload 100+ file formats (PDF, Word, Excel, code), configure semantic search, and query with natural language. Use when: building document Q&A systems, creating searchable knowledge bases, implementing semantic search without managing embeddings, indexing large document collections (100+ formats), or troubleshooting document immutability errors (delete+re-upload required), storage quota issues (3x input size for embeddings), chunking configuration (500 tokens/chunk recommended), metadata limits (20 key-value pairs max), indexing cost surprises ($0.15/1M tokens one-time), operation polling timeouts (wait for done: true), force delete errors, or model compatibility (Gemini 2.5 Pro/Flash only).

Research any topic from the last 30 days on Reddit + X + Web, synthesize findings, and write copy-paste-ready prompts. Use when the user wants recent social/web research on a topic, asks "what are people saying about X", or wants to learn current best practices. Requires OPENAI_API_KEY and/or XAI_API_KEY for full Reddit+X access, falls back to web search.

Used when users need to conduct a systematic review/literature review/related work/literature research: AI self-defined search terms, multi-source retrieval → deduplication → AI reads and scores each piece (1-10 points for semantic relevance and sub-topic grouping) → select documents based on high score priority ratio → automatically generate 'review' word count budget (70% cited sections + 30% uncited sections, three samples for average) → senior domain experts write freely (fixed abstract/introduction/sub-topics/discussion/prospects/conclusion), retaining strict checks on the number of words and references, forcing export to PDF and Word. Supports multilingual translation and intelligent compilation (en/zh/ja/de/fr/es).

使用Tavily API进行智能网络搜索。无需信用卡，每月1000次免费查询。支持AI增强的搜索结果和深度研究模式。Use when: 需要高质量搜索结果、学术研究、或不想绑定信用卡的场景。

使用高德地图Web服务API进行地点搜索、天气查询和路线规划。

Generate a daily tech news digest from 90+ top tech blogs (curated by Karpathy). Trigger with /digest. Fetches RSS feeds, scores articles by relevance/quality, and produces a structured Chinese/English summary. No external API keys needed — uses the agent's own LLM for scoring and summarization.

Search the web using a self-hosted SearXNG instance. Privacy-respecting metasearch that aggregates results from multiple engines.

Search personal websites and blogs using Exa advanced search. Full filter support for finding individual perspectives, portfolios, and personal blogs. Use when searching for personal sites, blog posts, or portfolio websites.

Use this skill for web search, extraction, mapping, crawling, and research via Tavily’s REST API when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly format is beneficial.