9. Research & Analysis

Conducts in-depth research using Reddit API, analyzing posts and comments with sentiment analysis to generate comprehensive research reports.

Provides methodology guidance for business research, including benchmarking, financial modeling, and economic analysis tasks.

Investigates and compiles detailed information on soccer match commentators and announcers for comprehensive insights.

Enables iterative, reflective problem-solving for complex analysis requiring context maintenance, branching, and hypothesis verification in multi-step scenarios.

Provides a structured methodology to deeply analyze complex technical problems, moving from vague concepts to verified solutions through systematic decomposition.

Deconstructs complex problems using a 5-step cognitive framework (First Principles to Dynamic Zooming) to reveal high-leverage insights and actionable strategies in business and system analysis.

Provides detailed rules for requirements analysis phase, including requirement scoring, follow-up logic, and code analysis steps.

Conducts deep architectural analysis via a 5-step logic chain to validate technical ideas and prevent failures through pre-mortem techniques.

Offers a pre-execution analysis framework using Socratic, Aristotelian, Feynman, and Drucker perspectives to question assumptions and clarify objectives.

Analyzes requirements to extract business rules (BR-*) for validation, logic, and error handling, enabling automated code generation.

Provides a structured thinking environment for exploring ideas, investigating problems, and clarifying requirements before or during changes.

Generates research reports analyzing GitHub repository stars, popularity trends, and comparative insights for data-driven decision-making.

Analyzes specifications and technical documents to identify user flows, edge cases, and missing elements for gap identification.

Collects and consolidates research outputs from Phase 1 inquiry agents, enabling streamlined research aggregation and analysis.

Gathers comprehensive documentation, source code insights, version constraints, and implementation patterns for frameworks and libraries to support effective integration.

Conducts comprehensive analysis of repository structure, documentation, and coding patterns to understand project conventions and best practices.

Monitors data science and tech news sources to identify trending topics and emerging tools, providing ranked content ideas for timely content creation.

Validates source authority and credibility to ensure reliable information for research and analysis.

Researches and synthesizes best practices, documentation, and examples from multiple sources to provide industry-standard development guidance.

Utilizes diverge-analyze-converge-execute flow with parallel agents and multi-perspective synthesis for thorough topic exploration and decision-making.

Framework for analyzing search performance, keyword rankings, and SEO metrics using Google Search Console data.

Provides expert explanations of research papers by answering user questions about content, methodology, and purpose based on plain text analysis.

Guides users to formulate effective research questions for automated academic paper discovery and search query setup.

Enables structured decomposition of complex problems into sequential steps for analysis, planning, and hypothesis verification.