9. Research & Analysis

Creates comprehensive leveraged buyout (LBO) models in Excel for private equity analysis, including debt schedules, cash flow waterfalls, and IRR calculations.

Automatically identifies performance bottlenecks during system testing scenarios.

Analyzes Java thread dumps to identify performance bottlenecks and thread contention in applications.

Simulates DeFi flash loan strategies across Aave, dYdX, and Balancer, calculating profitability and assessing risks for arbitrage and liquidation opportunities.

Provides real-time cryptocurrency market sentiment analysis using Fear & Greed Index, news analysis, and momentum indicators to gauge market mood.

Research tool for validating Model Context Protocol (MCP) implementations, ensuring compliance with JSON-RPC 2.0 standards and security patterns.

Provides expert research on Google Calendar API implementations, focusing on recurring events, timezone handling, and edge cases for development review and feature planning.

Identifies the specific DeFi protocol associated with a smart contract address through technical analysis and protocol database lookup.

Extracts structured review themes from PDFs, URLs, text, and other sources for systematic literature reviews.

Automates systematic literature reviews with AI-driven search, relevance scoring, structured output generation, and multilingual support for academic research.

Provides comprehensive global salary data for knowledge workers, including market value calculations, sector breakdowns, and geographic comparisons for economic analysis.

Enables data-driven project planning through adaptive research methodologies and evidence-based execution strategies.

Enables code research for external (GitHub) and local codebases, including tracing flows, finding usages, and understanding implementations.

Analyzes coding agent session transcripts to improve existing skills or create new ones based on interaction data.

Enables deep analysis and structured reasoning for complex problem decomposition using Sequential Thinking and UltraThink modes.

Conducts three-layer parallel meta-cognition analysis to synthesize complex cognitive processes upon user-triggered queries.

Explores Confluence page hierarchies up to three levels deep to gather and analyze documentation content across parent and child pages.

Provides a structured methodology for conducting thorough web-based information gathering and analysis.

Searches arXiv preprint repository for academic papers in physics, mathematics, computer science, and related fields.

Conducts comprehensive multi-source research with structured analysis and synthesis to deliver actionable insights on any topic.

Guides users through synthesizing research from multiple sources into a coherent summary.

Compiles detailed product context for companies by aggregating information from PDFs, web sources, and industry knowledge.

Orchestrates root cause investigation and problem analysis through a Python script, initiating structured analysis without preliminary exploration.

Generates structured research reports with evidence tracking, citations, and iterative review for literature reviews, market analysis, and competitive landscape assessments.