deep-research

What problem does it solve?

This Skill eliminates the fragmented, time-consuming, and often contradictory nature of manual technical research. It automates the orchestration of multiple specialized agents to conduct comprehensive investigations across web, local codebase, and third-party libraries, ensuring thoroughness and accuracy.

Core Features & Use Cases

• Multi-Source Orchestration: Coordinates web, codebase, and third-party code analysis agents in parallel.
• Graph of Thoughts Methodology: Applies structured thinking to decompose questions, score findings, and synthesize comprehensive answers.
• Contradiction Resolution: Actively identifies and resolves conflicting information by cross-referencing primary sources.
• Use Case: Investigate a subtle performance anomaly in a Spark application by comparing official documentation, the project's specific implementation, and the underlying library's source code, receiving a consolidated report with actionable insights.

Quick Start

To initiate a deep research task, simply ask a complex technical question, and the Skill will automatically decompose it and launch parallel agents. Example: Perform deep research on Spark's Catalyst optimizer, comparing its documented behavior with its actual implementation in Spark 3.2.1.