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deep-research

Orchestrate parallel agent rounds to research topics and synthesize source-backed reports.

1|Updated Nov 24, 2025
Search Tags:#research#AI agents#analysis#information gathering#insights#synthesis#topic exploration
One-click install
npx skills add https://github.com/bsamiee/Parametric_Portal --skill deep-research-bsamiee
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/bsamiee/Parametric_Portal/tree/main/.claude/skills/deep-research
Command: npx skills add https://github.com/bsamiee/Parametric_Portal --skill deep-research-bsamiee

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates and enhances the research process, moving beyond superficial findings to deliver comprehensive, validated insights. It saves significant time by orchestrating parallel AI agents and synthesizing their findings, reducing the effort required for in-depth topic exploration.

Core Features & Use Cases

  • Two-Round Parallel Research: Conducts an initial breadth-focused round, followed by a critique and a depth-focused second round, ensuring thorough coverage.
  • Iterative Critique & Refinement: Filters tangential or redundant findings and identifies gaps, allowing for surgical dispatch of agents to address specific areas.
  • Synthesized Findings: Integrates convergent results for high confidence and flags divergent findings for further resolution, providing a structured report.
  • Use Case: When tasked with understanding a complex new technology or market trend, use this Skill to rapidly gather and synthesize information from multiple perspectives, delivering a comprehensive overview without manual sifting.

Quick Start

Use the deep-research skill to explore the topic 'Impact of AI on climate change mitigation strategies', providing a comprehensive report on key findings and emerging trends.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How does parallel AI research improve topic exploration compared to sequential search?▼

Parallel research orchestrates multiple AI agents simultaneously to explore different facets of a topic, then synthesizes findings in a second round. This approach uncovers comprehensive insights faster than manual sequential research by reducing redundancy and identifying gaps across perspectives.

Can I use AI agents to conduct multi-faceted research on complex topics?▼

Yes. This Skill dispatches parallel agents across topic facets, applies iterative critique to filter tangential findings, and synthesizes convergent results into a structured report with source attribution, enabling thorough exploration of complex domains.

What's the best way to organize and deduplicate research findings from multiple sources?▼

Two-round orchestration with explicit critique in round one identifies redundant findings and gaps, then round two deploys targeted agents to address specific areas. Final output delivers deduplicated, synthesized insights with convergence flagged for high confidence.

How do I generate a comprehensive research report from fragmented information?▼

Define your topic and constraints as structured input, then the Skill coordinates parallel agent dispatch for breadth-focused exploration, applies refinement critique, and outputs a single validated report integrating findings with source backing and divergence flagged for resolution.

When should I use iterative research critique instead of single-pass analysis?▼

Iterative critique addresses complex domains requiring multi-facet exploration where initial findings may miss gaps or include tangential material. Two-round orchestration ensures surgical agent dispatch to unresolved areas, delivering higher confidence in synthesized conclusions.

Does this approach work for rapidly understanding emerging technologies or market trends?▼

Yes. The Skill rapidly gathers and synthesizes information from multiple perspectives without manual sifting, making it effective for exploring emerging topics like new technologies or market trends where comprehensive, multi-angle coverage is needed quickly.

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