9. Research & Analysis

Clarifies feature ideas through iterative Q&A, recording insights to guide concept development.

Enables real-time web research using Perplexity AI to find current information, compare technologies, and answer factual questions about tools and libraries.

Verifies topic research by directly analyzing source content, ensuring accuracy when studying links and documentation.

Verifies implementation readiness through duplicate checks, architecture compliance, and documentation verification, ensuring ≥90% confidence before development begins.

Searches and analyzes Claude Code conversation history to retrieve past solutions, discussions, and usage patterns upon user request.

Conducts comprehensive topic exploration by synthesizing web search results and memory for insightful analysis.

Analyzes images and visual data to determine geographic location through systematic reasoning and verification strategies.

Performs systematic qualitative analysis of interview transcripts using Gioia methodology, including 1st-order coding and 2nd-order thematic analysis, producing standardized documentation.

Conducts market research, competitor analysis, and technology comparisons with verified sources and URLs for reliable business insights.

Provides a structured framework for complex problem-solving and strategic decision-making using 15 thinking methods and multi-agent orchestration.

Structured reasoning tool for complex problem analysis using observation, hypothesis, analysis, and conclusion steps to support debugging and decision-making.

Conducts competitive feature analysis to identify and explore product features in the market.

Performs competitive market research to identify feature gaps and strategic opportunities against competitors.

Provides AI-powered web search and research capabilities with real-time information, citations, and complex reasoning via Perplexity API.

Calculates key financial ratios and metrics from financial statements to support investment analysis and decision-making.

Analyzes stock market structures using Wyckoff methodology, identifying accumulation/distribution phases and key events with interactive visualizations.

Systematically analyzes academic papers on categorical deep learning, extracting structures and mapping concepts to category theory for literature reviews.

Systematic research framework for categorical AI using a seven-function workflow (observe, reason, create, orchestrate, learn, verify, deploy).

Synthesizes patterns from curated reference collections (e.g., Are.na, bookmarks) to transform research into actionable frameworks.

Performs TAM/SAM/SOM analysis and competitive landscape mapping to identify beachhead markets and expansion opportunities using data-driven insights.

Conducts user experience research and analysis to inform design decisions, reviewing user data and creating personas, segments, and roadmaps.

Analyzes technical indicators and on-chain metrics to generate actionable trading signals for market decision-making.

Tracks crypto options flow to identify institutional positioning and gauge market sentiment.

Backtests crypto trading strategies against historical data to assess performance metrics and strategy validity.