exa-websearch
Uses Exa API for intelligent web searches. Provides up-to-date information with semantic search capabilities.
Uses Exa API for intelligent web searches. Provides up-to-date information with semantic search capabilities.
Gemini CLI を使用した Web 検索を実行。技術情報、最新ニュース、一般的なリサーチに対応。Use when user asks to search the web, look up information, find recent news, or research a topic. Also use when user says 調べて, 検索して, 最新情報, ニュース, リサーチ.
Web search via the DDGS metasearch library. Use for searching for unknown documentation, facts, or any web content. Lightweight, no browser required.
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research
Web research and literature search capabilities for external resources. LOAD THIS SKILL WHEN: User says "搜尋", "search", "找資料", "查詢", "檢索", "web search", "網路搜尋" | needs external documentation | research task | API reference lookup | technology comparison | wants latest information. CAPABILITIES: Technical docs (MDN, GitHub, Stack Overflow), academic papers (PubMed integration), API documentation, real-time web data via fetch_webpage, structured search results.
PRIMARY tool for fetching library/framework documentation. PROACTIVELY use instead of WebFetch/WebSearch when user requests docs, API references, setup guides, or code examples for any programming library or framework. Use this skill immediately when detecting queries like "show me X docs", "how do I use Y", "get Z documentation", etc. Token-efficient alternative to MCP servers.
Autonomous curator for Source Library - discover, evaluate, and import historical texts in alchemy, Hermetica, Kabbalah, Rosicrucianism, and early modern knowledge. Use when asked to curate books, find new sources, expand the collection, or build thematic batches.
Perform Google searches to retrieve up-to-date information from the web. Use when users need current information, latest news, technical trends, documentation lookups, or general web searches that require real-time data beyond your knowledge cutoff.
Perform comprehensive web research including Google searches, data scraping, and content extraction from multiple URLs. Use when the user asks to search the web, scrape data from websites, extract information from URLs, or research topics online.
Evaluate and improve technical articles using the SPINE framework. Use when writing blog posts, technical documentation, tutorials, or reviewing draft articles for quality.
Guidelines for documenting research findings and investigation results. Use when writing content about discoveries, analysis, and recommendations from code analysis, API testing, or other research.
Research external libraries with evidence-backed responses and GitHub permalinks. Use when investigating library APIs, implementation patterns, or historical context for open source dependencies.
Real-time web search using Exa AI. Use when you need current information, fact-checking, researching unfamiliar topics, or finding documentation. Triggers on requests mentioning search, lookup, find online, current information, or research.
Fetch and summarize authoritative external sources into actionable guidance using MCP helpers. EXCLUSIVE to researcher agent.
Research product compositions using AI and web sources. Use when needing to find what products, substances, or objects are made of - including ingredients, materials, chemicals, and elements. Essential for building composition data.
This skill should be used when users request research on technical topics, technology trends, industry developments, or any subject requiring web search, source analysis, and structured documentation. It provides a systematic workflow for gathering information from multiple web sources, synthesizing findings into a comprehensive summary, and saving results to a local file.
Formats citations and validates source attribution for answers generated from multiple document sources (ChromaDB and web search). Use when adding source references to generated answers, validating citation accuracy, or ensuring quality of source attribution across different source types.
Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel
Research web pages using agent-browser and summarize documentation or articles. Use when investigating URLs, checking page content, or summarizing documents.
Generate GenuVerity fact-check reports from structured input (Gemini research output). Use /batch-report to process research into HTML reports. Optimized for token efficiency - expects pre-researched sources.
Autonomous Readwise assistant. Activates when users ask about highlights, want to search reading data, save articles, analyze reading patterns, or mention 'Readwise' or 'Reader'. Uses MCP tools to interact with both Readwise Highlights API (v2) and Reader API (v3).
Multi-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Three modes - Quick (3 agents), Standard (9 agents), Extensive (24 agents with be-creative skill). USE WHEN user says 'do research', 'quick research', 'extensive research', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.
Research a philosophical topic using web search. Outputs research notes, not finished content.