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Research

Coordinate parallel agents to gather, verify, and synthesize research from web, videos, and documents.

Updated Aug 23, 2026
Search Tags:#research#verification#fabric#web-fetch#content-extraction#trend-analysis#mult-agent
One-click install
npx skills add https://github.com/larsboes/pai-marketplace --skill research-larsboes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Research
Source: https://github.com/larsboes/pai-marketplace/tree/main/marketplace/plugins/research/skills/research
Command: npx skills add https://github.com/larsboes/pai-marketplace --skill research-larsboes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automated multi-agent research workflows that fetch, verify, and synthesize information from diverse sources, reducing manual effort and improving coverage.

Core Features & Use Cases

  • Multi-agent coordination: parallel agents (e.g., Claude, Gemini) to cover depth and breadth.
  • Content retrieval & verification: fetch web, YouTube, PDFs; verify URLs before delivery.
  • Fabric-pattern integration: leverage Fabric workflows (patterns) to structure research.
  • Use Case: rapid market landscape research, due diligence, and AI trend analysis.

Quick Start

Start a topic-based research session to generate a structured insights report.

Frequently Asked Questions about Research

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

FAQPage Schema
How do I automate multi-agent research workflows for web content extraction?▼

Multi-agent research workflows are automated by coordinating parallel agents to fetch, verify, and synthesize information from web, video, and document sources. This Skill routes workflows through Fabric patterns to deliver structured insights for decision-making.

What is the best way to verify URLs and synthesize information from multiple sources?▼

URL verification and information synthesis are handled by enforcing safety protocols during content retrieval. Parallel agents fetch data from diverse sources like YouTube and PDFs, ensuring reliable, citable results for your research sessions.

Can I use parallel agents like Claude and Gemini for market landscape research?▼

Yes, parallel agents like Claude and Gemini can be coordinated for market landscape research and due diligence. Multi-agent coordination covers both depth and breadth, routing gathered data through Fabric patterns to generate structured insights.

Does this multi-agent research approach work with content extraction from YouTube videos and PDFs?▼

Content extraction from YouTube videos and PDFs is fully supported by the multi-agent research workflow. The system fetches and verifies multimedia and document sources, synthesizing the retrieved data into structured insights.

How do Fabric patterns structure research outputs for AI trend analysis?▼

Fabric patterns structure research outputs by providing standardized workflow routing for the synthesized information. This integration ensures that data gathered during AI trend analysis is formatted into reliable, structured insights for decision-making.

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