9. Research & Analysis

Conducts thorough, source-verified research with freshness checks and citations, synthesizing actionable answers for time-sensitive, niche, or high-stakes topics.

Enables rigorous reasoning, systematic decomposition, and factual verification for complex technical decisions and problem-solving.

Provides an automated daily summary of the most relevant arXiv papers in physics and machine learning, tailored to user preferences.

Searches GitHub for Algorand smart contract examples and patterns, helping developers find specific implementations and repositories.

Provides market maker perspective cryptocurrency analysis using Binance API data for technical analysis requests.

Analyzes AI/CS research papers to extract key points, contributions, and methods from PDF documents.

Simulates extreme scale and time scenarios to reveal underlying principles and truths not observable at typical human scales.

Analyzes historical evolution of ideas to identify reusable solutions and prevent recurrence of past failures in problem-solving.

Deploys parallel specialist subagents to analyze topics from diverse angles, cross-pollinate insights, and synthesize comprehensive results for in-depth research.

Researches and compares coupon discounts across six e-commerce platforms for price optimization and purchase decisions.

A structured workflow for systematically gathering and analyzing information to support research objectives.

Analyzes codebases and generates structured reports on specified focus areas to aid understanding and maintenance.

Conducts domain analysis and requirement gathering for new project scoping and feasibility assessment.

Conducts domain ecosystem research to inform project initialization, operating in parallel via agent orchestration during project setup.

Provides real-time stock prices and financial data for US-listed companies, supporting market research and investment analysis.

Performs real-time web searches using DuckDuckGo to retrieve current information, news, and factual data.

Synthesizes research findings into clear, actionable insights for data-driven decision-making.

Researches phase implementation details for planning. Spawned by planning orchestrators like /gsd:plan-phase.

Provides detailed research on implementation specifics for a defined phase in a project or process.

Consolidates outputs from parallel research agents into a SUMMARY.md file upon completion of research tasks.

Performs web searches and content extraction using Brave Search API for quick access to documentation, facts, and online information without browser dependency.

Performs deep research synthesis from multiple sources and generates audio overviews for efficient information comprehension.

Screens A-share convertible bonds using price, profit status, and down-revision history to provide investment recommendations.

Automates comprehensive research using AI agents across three modes (Quick, Standard, Extensive) for information gathering on any research request.