deep-research

Decompose complex topics into parallel research areas and synthesize cited reports.

18|4|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/DevHive1/DevHive-Cli --skill deep-research-devhive1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/DevHive1/DevHive-Cli/tree/main/agents/deep-research
Command: npx skills add https://github.com/DevHive1/DevHive-Cli --skill deep-research-devhive1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of shallow or biased information gathering by automating the systematic decomposition and synthesis of complex topics from multiple expert perspectives.

Core Features & Use Cases

  • Parallel Subagent Architecture: Decomposes broad topics into five distinct focus areas, launching parallel research agents to maximize coverage and efficiency.
  • Structured Synthesis: Evaluates source credibility, cross-references conflicting claims, and synthesizes findings into a professional, cited report.
  • Use Case: Use this when you need a comprehensive market analysis, a technology evaluation, or a literature review that requires verifying claims across dozens of independent sources.

Quick Start

Invoke the deep research skill to conduct a thorough analysis on the current state of renewable energy storage technologies by 2026.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I conduct multi-source research without getting biased information?

Multi-source research mitigates bias by decomposing complex topics into parallel focus areas, cross-referencing conflicting claims, and synthesizing findings from diverse domains. This systematic approach evaluates source credibility to ensure comprehensive and objective coverage.

Can I generate a cited literature review automatically from web searches?

Yes, you can generate a cited literature review by integrating web search and fetch tools to perform iterative, high-depth analysis. The process systematically gathers information, evaluates independent sources, and synthesizes findings into a structured report with citations.

What is the best way to structure a comprehensive market analysis across dozens of sources?

The best way to structure a market analysis is using a parallel subagent architecture that decomposes the topic into distinct focus areas and launches multiple research agents to maximize coverage. This method evaluates source credibility and synthesizes findings into a professional, cited report.

Do I need web search and fetch tools to perform high-depth analysis?

Yes, web search and fetch tools are required to perform iterative, high-depth analysis. The systematic information gathering and source evaluation process depends on these integrations to access and verify claims across dozens of independent external sources.

When should I not use a multi-agent research approach for topic synthesis?

You should avoid multi-agent research synthesis for simple, single-answer queries that do not require verifying claims across diverse domains. This approach is designed for complex topics needing broad coverage, systematic evaluation, and structured reporting rather than quick factual lookups.