Comprehensive Research

소개

Orchestrates a disciplined research workflow by coordinating specialized agents to uncover deep insights from complex technical environments. It utilizes a structured four-phase approach—Discovery, Analysis, Synthesis, and Validation—to scan codebases, evaluate existing documentation, and identify implementation patterns. By providing evidence-linked findings and actionable recommendations, this skill helps developers understand historical context, architectural constraints, and risk factors before beginning implementation or planning complex changes.

주요 기능

• Parallel multi-agent discovery for codebase, documentation, and pattern scanning
• 0 GitHub stars
• Advanced agent coordination using incentive-based prompting and expert personas
• Structured synthesis of architectural insights, historical context, and actionable recommendations
• Hierarchical caching strategy for optimized coordination and faster response times
• Evidence-based analysis providing findings with specific file and line-level references

사용 사례

• Investigating historical design decisions and technical constraints to inform refactoring efforts
• Mapping codebase patterns and cross-component relationships before performing architectural reviews
• Understanding complex system implementations like authentication or billing systems within a large codebase