deep-research

Coordinate sub-agents to research topics and verify cited sources.

Updated May 16, 2026

Search Tags:#source verification #deep research #executive report #comprehensive analysis #sub-agent coordination

Ready to run

npx skills add https://github.com/korchasa/flowai-plugins --skill deep-research-korchasa

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/korchasa/flowai-plugins/tree/main/plugins/flowai-engineering/skills/deep-research
Command: npx skills add https://github.com/korchasa/flowai-plugins --skill deep-research-korchasa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill tackles complex research tasks with multi-directional deep research, sub-agent coordination, and robust source verification, delivering comprehensive reports with confidence levels.

Core Features & Use Cases

Multi-directional Research: Decompose research topics into multiple directions for thorough exploration.
Sub-agent Coordination: Sequentially searches and evaluates sources using sub-agents for efficient processing.
Source Verification: Ensures all factual claims have citations, marking synthesized analysis and verifying single-source facts.
Use Case: Researching market trends and competition in a highly specialized field requires a detailed, cross-referenced report. This Skill efficiently compiles and analyzes diverse sources to deliver a well-structured executive summary and full markdown report.

Quick Start

Start the deep research process for the topic 'AI market trends 2024'.

Frequently Asked Questions about deep-research

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

FAQPage Schema

How do I conduct deep research with automated source verification?▼

Automated source verification in deep research sequentially evaluates retrieved information using sub-agents to ensure factual claims have citations, marking synthesized analysis and verifying single-source facts to deliver confidence levels.

What is sub-agent coordination for comprehensive analysis?▼

Sub-agent coordination for comprehensive analysis decomposes research topics into multiple directions, sequentially searching and evaluating sources to execute multi-directional research efficiently using parallel processing and temporary storage.

Can I generate an executive report for specialized market research?▼

Yes, you can generate an executive report for specialized market research. It compiles and analyzes diverse cross-referenced sources to deliver a well-structured executive summary and full markdown report.

Do I need search tools to perform multi-directional research?▼

Yes, multi-directional research requires search tools for retrieving information from multiple sources, alongside system resources for parallel processing and temporary storage to orchestrate sub-agents effectively.

How does deep research handle synthesized analysis versus single-source facts?▼

Deep research handles synthesized analysis by explicitly marking it within the report, while single-source facts undergo strict verification to ensure every factual claim has proper citations and confidence levels.

What are the limitations of sub-agent orchestration for complex research?▼

Limitations of sub-agent orchestration include high demands on system resources for parallel processing and temporary storage, making it resource-intensive for highly complex multi-directional research scenarios.