Search the web using OpenAI Codex CLI to find current documentation, best practices, solutions, and technical information. Use when the user needs to research libraries, find API documentation, troubleshoot errors, or learn about new technologies. Requires Codex CLI installed.
Efficiently research topics using parallel agents via Contextune's /ctx:research command. Use when users ask to research, investigate, find information about topics, compare options, or evaluate libraries/tools. Activate for questions like "research best X", "what's the best library for Y", or "investigate Z".
Semantic search over vector databases for document retrieval. Use this skill when the user requests searching documents, finding relevant content, or performing semantic queries such as "Search for information about X", "Find documents related to Y", or "Query the knowledge base".
This skill should be used when users need comprehensive research on a topic requiring exploration of multiple sources, synthesis of findings, and a well-structured report with citations. Use for complex research queries like "Research the latest developments in X", "Compare A vs B vs C", "Find the top N candidates for Y", or any request requiring deep exploration beyond a simple web search.
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
Guidance for deep knowledge graph traversal across memories, entities, and relationships. Use when needing comprehensive context before planning, investigating connections between concepts, or answering "what do you know about X" questions.
Transforms an academic paper into deep, multi-layered understanding. Use when asked to explain a paper, break down a research paper, understand an arXiv paper, or build intuition for a technical concept from a paper. Generates explanations at multiple levels plus visual intuition diagrams.
AgentDB integration specialist for RAN ML systems with vector storage, pattern recognition, and distributed training coordination. Achieves 150x faster search, <1ms QUIC sync, and 32x memory reduction for RAN optimization.
Analyze propositions from multiple expert perspectives. Dynamically generates 4-6 relevant expert roles, then performs validation, comprehensive analysis, or debate-style examination. Use when user wants to examine ideas critically, find blindspots, or explore different viewpoints on a topic.
OpenAI Codex CLI を使ってコード、設定ファイル、ドキュメントのレビューを実行します。「Codex にレビューして」「Codex でレビュー」「OpenAI にレビューしてもらって」「codex review」などのリクエストがあった場合に使用します。
Guides you through implementing a research paper step-by-step from scratch. Use when asked to implement a paper, code up a paper, reproduce research results, or build a model from a paper. Focuses on building understanding through implementation with checkpoint questions.
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Web research via Gemini CLI with Google Search grounding. Generates markdown report. Claude MUST append analysis section after. Use for real-time data: news, docs, code examples, fact verification.
Multi-step reasoning with Chain-of-Thought. Use for 'why' questions and comparisons.
Extract insights, analyze claims, and synthesize knowledge from research content. Use when processing academic papers, articles, podcasts, videos, meeting transcripts, or any content where the goal is to extract wisdom, analyze arguments, summarize findings, or compile references. Triggers include "analyze this paper", "extract key insights", "summarize the research", "what are the main claims", "extract wisdom from", "compile references", "critique this argument".
Conduct comprehensive, multi-source research on any topic using web search, documentation lookup, and critical analysis. This skill should be used when users request thorough investigation, deep research, or comprehensive analysis of topics including but not limited to AI systems, technology trends, academic subjects, business strategies, or current events. | 任意のトピックに対して、Web検索、ドキュメント参照、批判的分析を用いた包括的な調査を実施。徹底的な調査、詳細なリサーチ、包括的な分析が必要な場合や、AIシステム、技術トレンド、学術的テーマ、ビジネス戦略、時事問題などについて深く知りたい場合に使用。
Creates well-organized study notes from any content. Use when the user asks for study notes, learning summaries, revision materials, or wants to understand a topic for studying.
Query news articles from Neo4j with fulltext and vector search. Use when fetching news data or searching news content.
Access Claude Blog for latest Claude Code improvements, usage patterns, and best practices. Use when researching Claude Code features, CLAUDE.md optimization, or staying current with Claude capabilities. Checks recent articles for relevant updates and patterns.
Expert in Gravito Satellite modules. Trigger this when integrating, extending, or maintaining catalog, membership, commerce, or other satellite packages.
Generate comprehensive undergraduate lecture notes for social sciences (especially economics) with mathematical foundations, daily-life examples, and practice questions. Use when user asks to create, generate, or write lecture notes, lecture materials, or teaching content. Supports Turkish and English output, Obsidian-compatible markdown with LaTeX/TikZ, and optional syllabus integration.
Suggest MOC updates and new MOCs based on semantic clustering. Use when asked to "curate MOCs", "update maps", "find clusters", "what MOCs need updating", or "organize my notes".
Synthesize knowledge on a topic from multiple notes. Use when asked "what do I know about X", "summarize topic", "synthesize notes on", or "overview of".
