quick-research

Coordinate parallel research sub-agents to synthesize cited reports.

3|Updated Dec 28, 2025
One-click install
npx skills add https://github.com/hongbietcode/synthetic-claude --skill quick-research-hongbietcode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: quick-research
Source: https://github.com/hongbietcode/synthetic-claude/tree/main/plugins/productivity-kit/skills/quick-research
Command: npx skills add https://github.com/hongbietcode/synthetic-claude --skill quick-research-hongbietcode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables comprehensive topic exploration by coordinating a lead researcher with multiple parallel sub-agents to generate a well-cited report.

Core Features & Use Cases

  • Lead-subagent orchestration: One coordinating agent assigns distinct research directions to dedicated sub-agents.
  • Parallel research: Sub-agents explore topics simultaneously to speed up discovery.
  • Synthesis & citation: Findings are deduplicated, synthesized, and referenced with inline citations for a final report.
  • Use Case: Conduct a comprehensive literature review across multiple sources on a complex topic, then produce a structured summary with sources.

Quick Start

Start a quick multi-source literature review by asking the AI to initiate a Quick Research session on your topic, for example: "Investigate the latest developments in quantum machine learning and compare approaches, with a final report and citations."

Frequently Asked Questions about quick-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate a multi-source literature review with inline citations?

Automating a multi-source literature review involves coordinating a lead researcher agent with parallel sub-agents to explore topics simultaneously, deduplicate findings, and synthesize a structured final report with inline citations.

What is multi-agent research synthesis and how does it work?

Multi-agent research synthesis is a workflow where a lead agent assigns distinct research directions to dedicated sub-agents for parallel exploration, deduplicates findings, and generates a well-cited final summary.

Can I use parallel sub-agents for comparative analysis across different domains?

Yes, you can use parallel sub-agents for comparative analysis across domains by assigning each sub-agent a distinct research direction to explore simultaneously before deduplicating and synthesizing the findings.

What's the best way to generate a well-cited report for complex topic exploration?

The best way to generate a well-cited report for complex topic exploration is orchestrating a lead researcher with parallel sub-agents to deduplicate findings and synthesize structured results with inline citations.

Does multi-agent research require specific dependencies or components to function?

No, multi-agent research requires no specific external dependencies or components to function, as the lead-subagent orchestration workflow operates autonomously to generate the final synthesized report.

When should I not use a multi-agent approach for literature reviews?

You should avoid a multi-agent approach for literature reviews when topics are simple and single-sourced, as the overhead of coordinating parallel sub-agents and deduplicating findings is unnecessary for straightforward synthesis tasks.