research

Coordinate parallel multi-source research across Claude, Perplexity, and Gemini agents.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/mikegil/MaxAI --skill research-mikegil
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/mikegil/MaxAI/tree/main/.claude/Skills/Research
Command: npx skills add https://github.com/mikegil/MaxAI --skill research-mikegil

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables fast, multi-source research by coordinating multiple researcher agents (Claude, Perplexity, Gemini) to deliver comprehensive insights across sources. It reduces the time spent on manual synthesis and enables deeper content analysis with intelligent retrieval, even from difficult or blocked sites.

Core Features & Use Cases

  • Parallel multi-source research: orchestrates Claude, Perplexity, and Gemini researchers to search and analyze in parallel.
  • Deep content analysis: performs extended thinking and synthesis across sources.
  • Intelligent retrieval for hard sites: leverages layered retrieval (built-in search/fetch, BrightData, Apify) to access challenging pages.
  • Fabric pattern selection: uses Fabric's 242+ patterns to tailor the research workflow for depth and speed.
  • Use Case: when a user needs a comprehensive topic understanding, run parallel queries and synthesize a report with multi-source attributions.

Quick Start

To begin a research on a topic, run a Claude-based or Perplexity-based workflow, for example: bun ${PAI_DIR}/Commands/perform-claude-research.md "quantum computing advances" Or bun ${PAI_DIR}/Commands/perform-perplexity-research.md "quantum computing advances"

Frequently Asked Questions about research

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

FAQPage Schema
How do I run parallel research across multiple AI sources like Claude and Perplexity?

Parallel multi-source research coordinates Claude, Perplexity, and Gemini researcher agents simultaneously to search and analyze topics. This Skill orchestrates those agents to deliver comprehensive insights across sources faster than sequential queries, with built-in timeouts and result aggregation for unified reports.

Can I extract content from websites that are difficult to access or blocked?

Yes. This Skill uses layered intelligent retrieval including BrightData and Apify integrations to access challenging pages. It combines built-in search and fetch with these services to extract content even when standard methods fail, enabling deep content analysis from restricted sources.

How do I structure a comprehensive research workflow with multiple information sources?

This Skill coordinates multi-source research by routing queries to relevant researcher agents, managing parallel execution, aggregating results with source attribution, and formatting outputs for knowledge bases. Use the quick-start commands to run Claude or Perplexity workflows on any topic.

What's the difference between running research through Claude versus Perplexity in this Skill?

Both Claude and Perplexity workflows enable parallel research orchestration, but Claude offers extended thinking and synthesis capabilities while Perplexity provides additional search optimization. Choose based on your depth-versus-speed needs; both integrate with the same Fabric pattern selection and retrieval layer.

Can I customize research depth using Fabric patterns?

Yes. This Skill integrates 242+ Fabric patterns to tailor research workflows for both depth and speed. Pattern selection automatically adjusts how the researcher agents analyze and synthesize information, letting you optimize for comprehensive analysis or rapid summaries depending on your use case.

When should I use multi-source research instead of a single search query?

Use multi-source research for comprehensive topic understanding, synthesis across conflicting sources, document and video extraction at scale, or when you need attributions from multiple platforms. Single queries lack the parallel coverage and intelligence retrieval needed for complex research requiring validation across sources.