Research

Name: Research
Availability: InStock
Author: robdtaylor

Orchestrate Perplexity, Gemini, and Claude to synthesize multi-source research reports.

Updated Aug 23, 2026

Search Tags:#research #metrics #citations #parallel-search #JSON-output #source-attribution #multisource

Ready to run

npx skills add https://github.com/robdtaylor/personal-ai-infrastructure --skill research-robdtaylor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Research
Source: https://github.com/robdtaylor/personal-ai-infrastructure/tree/main/skills/Research
Command: npx skills add https://github.com/robdtaylor/personal-ai-infrastructure --skill research-robdtaylor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates multi-source research workflows by coordinating Perplexity, Gemini, and Claude to fetch diverse perspectives and insights across sources.

Core Features & Use Cases

Decomposes user questions into focused sub-queries to cover core facts, context, and implications.
Launches parallel queries in a single operation for speed, and synthesizes findings with source attribution and confidence levels.
Supports Quick, Standard, and Extensive research modes with defined workload and output formats.

Quick Start

To begin a multi-source investigation, use the research command with a topic, for example: /conduct-research "latest AI research trends"

Frequently Asked Questions about Research

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

FAQPage Schema

How do I conduct multi-source research across different AI platforms?▼

To conduct multi-source research, you can launch parallel queries across Perplexity, Gemini, and Claude. The system decomposes your question into focused sub-queries and synthesizes the findings with source attribution and confidence levels.

What is the best way to get diverse perspectives on a complex topic?▼

Getting diverse perspectives on a complex topic is best achieved through parallel multi-source research. By orchestrating multiple AI models to fetch information simultaneously, you synthesize findings with source attribution to ensure comprehensive coverage.

How do I generate a structured JSON report from parallel search results?▼

You can generate a structured JSON report by running parallel searches across multiple sources. The research process synthesizes the fetched data into a structured output format, including a dedicated research metrics section and source attribution.

Can I adjust the depth of my multi-source research investigations?▼

Yes, you can adjust the depth of multi-source research investigations using Quick, Standard, and Extensive modes. Each mode defines a specific workload and output format, allowing you to scale the research process based on your needs.

Does parallel research automatically decompose broad questions into sub-queries?▼

Yes, parallel research automatically decomposes broad user questions into focused sub-queries. This ensures coverage of core facts, context, and implications before executing parallel queries in a single operation for faster results.

When should I use an extensive research mode over a quick search?▼

You should use extensive research mode over a quick search when you need a higher workload and more detailed output format for complex topics. Quick mode is suitable for faster, less comprehensive multi-source investigations.