Read and analyze academic papers from Zotero library. Use when the user requests to read, access, or analyze a paper by title, author, or topic from their Zotero library. Automatically searches Zotero, converts PDFs to markdown, saves to Notes/PaperInMarkdown, and provides analysis.
Generate structured research reports with findings, comparisons, recommendations, and citations. Use when documenting investigation results or creating technical comparisons. This skill provides comprehensive research report templates: - Investigation findings with proper structure - Technology comparison tables - Best practices summaries - Citation and reference management - Executive summaries Triggers: "create report", "summarize findings", "compare technologies", "research report", "調査レポート", "技術比較", "ベストプラクティス"
Extracts structured data from cybersecurity fatigue research papers and calculates statistical correlations
Fetch and aggregate data from 17 external APIs including Census, arXiv, NASA, Wikipedia, PubMed, and GitHub.
Summarize robotics-related text, research papers, or lecture notes into concise, clear, and structured summaries. Use when user asks to condense or simplify robotics content.
Generates a comprehensive learning graph from a course description, including 200 concepts with dependencies, taxonomy categorization, and quality validation reports. Use this when the user wants to create a structured knowledge graph for educational content.
Run GPT-Researcher multi-agent deep research framework locally using OpenAI GPT-5.2. Replaces ChatGPT Deep Research with local control. Researches 100+ sources in parallel, provides comprehensive citations. Use for Phase 3 industry/technical research or comprehensive synthesis. Takes 6-20 min depending on report type. Supports multiple LLM providers.
Optimize websites for AI assistant recommendations. ChatGPT, Gemini, Perplexity, Claude. Get cited in AI answers.
Provide L1-L5 pedagogy layer reference for the AI-Native Robotics Textbook. Use when assigning layers to content, understanding layer requirements, or validating layer progression.
Performs accurate research and fact-checking using reliable sources. Ideal for validating claims, clarifying complex topics, summarizing findings, and ensuring information accuracy.
Query Perplexity.ai directly from the terminal to find answers to research questions, current events, and detailed explanations. Returns structured JSON output for programmatic parsing. Use when you need current information, comprehensive answers with source references, or want to avoid making separate web search requests.
Systematically investigate large corpus sections (100GB+) using stratified sampling, pattern recognition, and computational verification. Produces comprehensive section analyses with metadata schemas, chunking strategies, and RAG integration recommendations. Use when analyzing large datasets, investigating archive structures, studying corpus organization, conducting investigation and study tasks, or documenting dataset characteristics for RAG pipeline design.
Search the internet using Gemini CLI when web search tools are unavailable or when user requests Gemini specifically.
Use this agent when you need to research and gather external best practices, documentation, and examples for any technology, framework, or development practice. This includes finding official documentation, community standards, well-regarded examples from open source projects, and domain-specific conventions. The agent excels at synthesizing information from multiple sources to provide comprehensive guidance on how to implement features or solve problems according to industry standards. <example>Context: User wants to know the best way to structure GitHub issues for their Rails project. user: "I need to create some GitHub issues for our project. Can you research best practices for writing good issues?" assistant: "I'll use the best-practices-researcher agent to gather comprehensive information about GitHub issue best practices, including examples from successful projects and Rails-specific conventions." <commentary>Since the user is asking for research on best practices, use the best-practices-researcher agen
Search conversation history for research context - papers discussed, citations analyzed, discoveries made, or questions explored.
Request an external review from Codex (OpenAI) to get a second perspective on designs, implementations, diffs, or architecture decisions
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies for AI-powered search visibility in ChatGPT, Perplexity, Google AI Overviews, and other AI search platforms.
Apply Chiral Narrative Synthesis (CNS) framework for contradiction detection and multi-source analysis using Tinker API for model training. Use when implementing CNS with Tinker for fine-tuning models on contradiction detection, training on SciFact/FEVER datasets, or building multi-agent debate systems for narrative synthesis.
Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.
Probability-based text analysis providing GLTR token rank histograms, DetectGPT curvature probes, and Coh-Metrix-inspired cohesion metrics. Designed to compose with ai-check for comprehensive AI writing pattern detection.
Query the SEA-Forge™ Knowledge Graph using SPARQL to retrieve concepts, relationships, and semantic patterns. Use for semantic lookups, concept validation, relationship discovery, and ontology exploration. Integrates with DomainForge™ and Oxigraph.
Methods for evaluating AI model outputs - exact match, semantic similarity, LLM-as-judge, comparative evaluation, ELO ranking. Use when measuring AI quality, building eval pipelines, or comparing models.
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
