Multi-Agent Research System

About

The Multi-Agent Research System is a high-performance Claude Code skill designed to tackle complex investigations by decomposing broad topics into focused sub-themes. It intelligently spawns 2-4 specialized researcher agents to work in parallel, maximizing efficiency and breadth of coverage. To ensure architectural integrity and high-quality outputs, the skill mandates a separate report-writer agent to synthesize all findings into a professional document, complete with executive summaries, cross-cutting insights, and full bibliographies.

Key Features

• Parallel agent execution for rapid, multi-faceted data collection
• Mandatory report-writer delegation for unbiased synthesis and professional formatting
• Automated workflow tracking and file verification for research reliability
• 0 GitHub stars
• Comprehensive output structure including executive summaries and bibliographies
• Intelligent query decomposition using temporal, categorical, or stakeholder patterns

Use Cases

• Conducting comprehensive literature reviews or state-of-the-art technical investigations
• Performing deep-dive market research or competitive analysis on emerging technologies
• Compiling detailed reports on complex regulatory or policy landscapes