Can I use this for simple coding tasks or factual questions?

No, this skill is specifically optimized for deep investigation. It should not be used for debugging, script writing, or answering simple factual questions like 'What is the capital of France?'

Why can't the skill write the report itself directly?

The skill utilizes architectural enforcement to ensure high quality; by delegating to a dedicated report-writer agent, it ensures a more objective and thorough synthesis of disparate research notes.

How many agents does this skill run simultaneously?

The skill typically orchestrates 2 to 4 specialized researcher agents in parallel, followed by a final report-writer agent for synthesis.

How long does a typical research task take?

Because researchers run in parallel, a comprehensive investigation usually takes between 10 to 15 minutes, significantly faster than sequential research.

Where does the skill store the research findings?

Raw research notes are saved in the 'files/research_notes/' directory, while the final synthesized reports are located in 'files/reports/'.

Multi-Agent Research System

Name: Multi-Agent Research System
Author: zubayer0077

byzubayer0077

생산성 및 워크플로

Orchestrates multiple specialized sub-agents in parallel to conduct deep-dive research and synthesize comprehensive, structured reports.

소개

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.

주요 기능

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

사용 사례

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

소개

주요 기능

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

사용 사례

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