gemini-deep-research
Enables Claude to conduct comprehensive research using Gemini Deep Research for in-depth analysis and reports
Enables Claude to conduct comprehensive research using Gemini Deep Research for in-depth analysis and reports
Use Miller's semantic search capabilities for conceptual code understanding. Activates when searching for concepts, cross-language patterns, business logic, or exploring unfamiliar code. Combines text and semantic search for optimal results.
Detect hints about unreleased AI research or capabilities from lab researcher communications. Use when analyzing tweets, posts, or interviews from people at major AI labs to identify signals about upcoming work.
Browser Controller拡張機能を使ってChatGPT 5.2 Thinkingで3並列以上のウェブ検索・ブレスト・情報収集を実行する。難問にはHeavy thinking(heavy/extended)を使用。指定時のみChatGPT Proで深い考察・ファクトチェック。マルチターン継続(chat)、再取得(recover)、ファイル添付、タブ管理にも対応。「ウェブ検索」「横断検索」「並列検索」「ブレスト」「情報収集」「リサーチ」「再取得」「追加質問」を依頼されたときに使用する。
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
This skill should be used when the user asks to "search with gemini", "web research", "check reddit", "gemini 調査", "リサーチして", "最新情報を調べて", or when WebFetch is blocked. Uses Gemini CLI for web searches and research on sites that Claude Code WebFetch cannot access (Reddit, social media, etc) or for deep research requiring multiple sources.
Use semantic search to find relevant code and documentation when user asks about specific functionality, features, or implementation patterns. Automatically invoke when user asks "where is...", "how does... work", "find code that...", or similar conceptual queries. More powerful than grep for concept-based searches. Uses odino CLI with BGE embeddings for fully local semantic search.
Orchestrate lightweight parallel internet research (2-4 dimensions). Spawns light-research-researcher workers for each subtopic dimension, coordinates findings, synthesizes final reports. Use for standard research queries with 2-3 distinct angles. Examples - cloud gaming optimization, quantum computing overview, WebRTC performance analysis. Triggers - research, investigate, analyze with multiple aspects.
Research academic papers and questions, write typst documents with cetz visualizations, teach until human understands
Use this skill when generating synthetic datasets using LLMs. Covers implementation with localrouter, prompting strategies for diversity, model selection, parallelization patterns, and dataset testing workflows. Ideal for creating training data, test datasets, or augmenting existing data.
Search previous Claude Code conversations for facts, patterns, decisions, and context using semantic or text search
This skill guides the process of creating context-free queries for a web search agent (another Claude instance with web search tools). Use this when you need expert guidance from web research but the search agent has no access to the codebase or conversation history.
Use for deep multi-step investigation and analysis with Codex. Triggers on "codex deep analysis", "investigate with codex", "codex thorough investigation", "have codex think deeply".
Filter and classify AI research content for relevance. Use when processing raw content from Twitter, Substacks, blogs, or podcasts to determine if it's worth extracting claims from. Assigns relevance scores, topics, and author categories.
Extract structured claims, predictions, hints, and opinions from AI research content. Use when processing tweets, blog posts, substacks, or other content from AI researchers to identify substantive assertions about AI capabilities, limitations, and progress.
Provides specialized knowledge and content creation for Physical AI and Humanoid Robotics topics with focus on accuracy and peer-reviewed sources.
Search and retrieval strategies including semantic, hybrid, and reranking for RAG systems. Use when implementing retrieval mechanisms, optimizing search performance, comparing retrieval approaches, or when user mentions semantic search, hybrid search, reranking, BM25, or retrieval optimization.
This skill should be used when conducting bioinformatics research, planning experiments, running analyses, or managing scientific projects. Triggers include requests like "研究を始める", "実験する", "新しい実験を計画", "Start research", "Plan experiment", "Run analysis", or "What's the current research status?".
Perform comprehensive research using the diffusion research loop - parallel worker agents, iterative gap detection, and structured synthesis. Use when you need thorough, multi-perspective research with citations.
AI-powered research skill with five workflows - chat (single-model conversation), consensus (multi-model synthesis), thinkdeep (systematic investigation), ideate (creative brainstorming), and deep (multi-phase web research). Supports persistent threads and research sessions.
Assess overall hype levels across AI topics by comparing lab researcher enthusiasm against critic skepticism. Use after topic synthesis to identify which topics are overhyped, underhyped, or accurately assessed by the field.
AI tool that analyzes language and context to identify potential misinformation and fact-check claims made by public figures