research

Conduct structured research with Perplexity AI and return cited findings.

1|Updated Apr 28, 2026

Search Tags:#structured data #fact-checking #research #Perplexity AI #intelligence

Ready to run

npx skills add https://github.com/Mattyreed1/deep-deliberation --skill research-mattyreed1

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/Mattyreed1/deep-deliberation/tree/main/research
Command: npx skills add https://github.com/Mattyreed1/deep-deliberation --skill research-mattyreed1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires perplexity, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The research skill solves the problem of turning complex questions into actionable intelligence by using Perplexity AI for in-depth, structured research.

Core Features & Use Cases

Deep Research: Provides comprehensive research on a wide range of topics.
Query Routing: Routes queries to the most appropriate Perplexity model automatically.
Structured Responses: Delivers findings with citations and structured details.
Use Case: When you need to understand the current state of a technology or analyze a specific problem, the research skill can quickly provide a well-structured report.

Quick Start

Use the research skill to dive into the latest updates on a specific technology with the command /research Current state of AI in 2023.

Frequently Asked Questions about research

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

FAQPage Schema

How do I get structured research with citations using Perplexity AI?▼

To get structured research with citations using Perplexity AI, submit your query and the system automatically routes it to the optimal model for deep reasoning. It then delivers detailed findings with structured responses and citations.

What is the best way to turn complex questions into actionable intelligence?▼

The best way to turn complex questions into actionable intelligence is using automated query routing to select the appropriate AI model. This delivers comprehensive, structured reports optimized for quick understanding and decision-making.

How does automatic model selection work for deep research queries?▼

Automatic model selection for deep research works by evaluating your query and routing it to the most appropriate Perplexity model for search, reasoning, or deep research. This ensures the response is optimized for the query's complexity.

Can I use this structured research approach to analyze the current state of a technology?▼

Yes, you can use this structured research approach to analyze the current state of a technology. It provides comprehensive research on a wide range of topics, delivering well-structured reports with citations for quick understanding.

Do I need a specific environment setup to run Perplexity AI research?▼

You need the Perplexity AI dependency installed to run Perplexity AI research. The skill utilizes this dependency to conduct deep, structured research and automatically select the optimal model for your query.

What are the limitations of using automated query routing for fact-checking?▼

A limitation of using automated query routing for fact-checking is that model selection is automated based on query evaluation. While it structures responses with citations, the depth depends on the selected Perplexity model's capabilities.