9. Research & Analysis

Conducts in-depth market research to analyze competitors, identify market trends, and assess user demand signals for strategic business decisions.

Provides advanced web search capabilities for deep research, code context, company analysis, and LinkedIn data extraction via Exa MCP server.

Analyzes Claude Code session logs to extract decisions, blocks, and resolutions for knowledge persistence and retrospective analysis.

Generates citation trees and research field visualizations through academic API integration for scholarly analysis and knowledge mapping.

Synthesizes L4-level cutting-edge research across domains, delivering deep analysis of the latest academic and industry advancements.

Provides structured domain exploration by tracing research paper genealogy and contextualizing vocabulary within academic origins.

Autonomously identifies system gaps via multi-axis competitive and technology analysis, enabling strategic decision-making in product and tech selection.

Traces the academic lineage of a specific concept by analyzing its origin, evolution, and related scholarly papers.

Provides expert knowledge on Tokyo transportation, emergency protocols, and medical services for efficient travel and safety.

Searches and retrieves schedules and pricing for trains, flights, and buses between specified cities.

Conducts competitive market analysis by scraping competitor data and analyzing customer sentiment to synthesize a product knowledge base.

Assigns hierarchical academic tags to notes using deep analytical reasoning, adapting taxonomy depth to context and providing transparent classification rationale.

Validates AI research innovation points by analyzing literature, assessing novelty, and evaluating top conference publication potential.

Assists developers in researching external library documentation through a structured research-then-test experimental workflow.

Ensures content authenticity for 1892 historical context by verifying period-appropriate language, technology, and cultural references.

Provides stock and ETF analysis for buy/sell decisions, including comparative analysis, earnings report evaluation, and ETF trend assessment.

Provides comprehensive stock and ETF analysis for buy/sell decisions, comparative evaluations, and post-earnings market assessment.

Conducts a 7-step pre-design research process for new simple_* libraries, producing documented findings for eiffel.spec.

Conducts parallel research for focused information gathering, delivering structured outputs aligned with specific objectives.

Conducts thorough investigation to understand complex problem spaces, codebases, and requirements before proposing solutions or changes.

Neutral synthesis of multiple sources, clearly distinguishing direct quotes from paraphrased content while avoiding unsupported claims.

Structured checklist for Solana token analysis to detect rug pulls via liquidity, holder distribution, and insider pattern evaluation.

Enables AI-driven research on GitHub, GitLab, and Bitbucket repositories for understanding project architecture and source code via RAG-based Q&A.

Prioritizes Gemini-powered web search for advanced information retrieval, replacing default Claude search tool.