Multi-Agent Research System

소개

This skill brings Anthropic's specialized multi-agent research methodologies to Claude, enabling the execution of complex, high-breadth research tasks with precision. It provides a structured framework for assessing query complexity, performing parallelized tool execution for 90% faster results, and implementing a 'wide-to-narrow' search strategy to ensure no critical context is missed. By utilizing extended thinking strategies and findings compression, it distills high-volume data from dozens of sources into actionable, decision-critical context for developers and architects.

주요 기능

• Progressive search refinement from broad exploration to narrow specifics
• Extended thinking and interleaved evaluation strategies
• Findings compression to extract decision-critical information from large datasets
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• Query complexity scaling to allocate resources based on task depth
• Parallel tool execution for high-speed multi-source validation

사용 사례

• Performing time-sensitive technical landscape explorations with parallelized search
• Comparing multiple technical architectures or API alternatives simultaneously
• Synthesizing information across 10+ documentation sources for complex integrations