How many agents can run in parallel?

The skill supports up to 10 parallel sub-agents per research iteration, allowing for rapid exploration of broad topics without exceeding token limits.

How does Quick Research differ from a standard web search?

Standard searches provide individual results, while Quick Research uses multiple sub-agents to explore different facets of a topic simultaneously, synthesizing a comprehensive report from all findings.

Can I specify which sources the agents should prioritize?

Yes, during the initial Phase 1 scoping, you can define a research brief that specifies preferred sources such as academic papers, official documentation, or executive statements.

Is this skill suitable for technical comparisons?

It is specifically optimized for technical and complex queries, making it ideal for comparing software architectures, AI models, or security frameworks.

Does the research output include citations?

Yes, all reports generated by this skill include inline citations and a dedicated 'Sources' section with URLs to ensure accuracy and traceability.

Quick Research

Name: Quick Research
Author: hongbietcode

byhongbietcode

•

生産性とワークフロー

Conducts deep, multi-perspective topic exploration and generates comprehensive synthesized reports using a parallel multi-agent architecture.

概要

Quick Research transforms Claude Code into a powerful research engine by orchestrating multiple parallel sub-agents to investigate complex topics simultaneously. This skill is designed for high-depth tasks where a single web search is insufficient, such as comparing industry leaders, validating domain-specific questions, or creating extensive market rankings. By distributing the workload across specialized agents and synthesizing findings into well-structured reports with formal citations, it achieves significantly greater breadth and accuracy than standard AI interactions.

主な機能

Parallel multi-agent orchestration for maximum research breadth
2 GitHub stars
Customizable research briefs to define scope and source preferences
Multi-iteration research loops to identify and fill information gaps
Standardized citation management and source list generation
Automated synthesis of findings from multiple independent sources

ユースケース

Deep-dive market research and industry trend identification
Creating verified lists or rankings with detailed supporting evidence
Comprehensive comparative analysis of competing technologies or frameworks

概要

主な機能

Parallel multi-agent orchestration for maximum research breadth
2 GitHub stars
Customizable research briefs to define scope and source preferences
Multi-iteration research loops to identify and fill information gaps
Standardized citation management and source list generation
Automated synthesis of findings from multiple independent sources

ユースケース

Deep-dive market research and industry trend identification
Creating verified lists or rankings with detailed supporting evidence
Comprehensive comparative analysis of competing technologies or frameworks