deep-research
Use when user requests research requiring multiple sources, comprehensive analysis, or synthesis across topics - technical research, domain knowledge gathering, market analysis, or learning about complex subjects
rag-optimization
RAG 파이프라인 최적화 스킬. 검색 품질, 리랭킹, 쿼리 확장, 하이브리드 검색 관련 작업에서 자동으로 활성화됩니다. retrieval, rerank, embedding, vector search, semantic search 키워드에 반응합니다.
rag-retrieval
Hybrid search (embedding + BM25) for retrieving relevant clinical note passages. Use for finding source evidence to support claims in summaries and recommendations.
aiproofing-text
Analyzes narrative text and files to identify and remove AI-generated signals while preserving authentic voice and style. Runs input through comprehensive protocols covering vocabulary, syntax, character voice, emotional depth, and readability. Use this skill when you need to proof narrative content against AI detection patterns or humanize AI-assisted writing.
semantic-intelligence
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.
hint-detection
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.
chatgpt-parallel-research
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。
geo-fundamentals
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
gemini-research
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.
semantic-search
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.
awesomeremembering-conversations
Search previous Claude Code conversations for facts, patterns, decisions, and context using semantic or text search
querying-web-search-agent
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.
content-filter
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.
claim-extraction
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.
retrieval-patterns
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.
hype-assessment
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.
fact-checker
AI tool that analyzes language and context to identify potential misinformation and fact-check claims made by public figures
docs-search
Lightweight search utility for Toss / Apps-in-Toss llms-full.txt docs, caching sources and ranking snippets with keyword + similarity (Korean-aware) scoring.
academic-review
Multi-agent academic paper reviewer. Uses parallel agents (Style, Logic, Format checkers) to overcome LLM self-preference bias. Call after writing with academic-writing skill.
chatgpt-parallel-research
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。