perplexity-research

Delegate web research to a Perplexity subagent and return a cited report.

Updated Jan 31, 2026
One-click install
npx skills add https://github.com/cfircoo/claude-code-bot --skill perplexity-research-cfircoo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: perplexity-research
Source: https://github.com/cfircoo/claude-code-bot/tree/main/.claude/skills/perplexity-research
Command: npx skills add https://github.com/cfircoo/claude-code-bot --skill perplexity-research-cfircoo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables AI agents to perform up-to-date web research by delegating queries to a specialized Perplexity subagent, producing a structured report with source citations.

Core Features & Use Cases

  • Delegated web research with Perplexity API to fetch current information and verify facts.
  • Structured, citation-rich reports that summarize findings and key takeaways.
  • Use cases include topic comparisons, product documentation verification, and rapid literature reviews.

Quick Start

Ask the AI to research a topic using Perplexity and return a structured, cited report.

Frequently Asked Questions about perplexity-research

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

FAQPage Schema
How do I automate web research to get up-to-date sources with citations?

Automated web research with citations is done by delegating queries to a Perplexity subagent, which fetches current information and returns a structured report with source links.

What is a Perplexity subagent used for in AI research workflows?

A Perplexity subagent is used for delegated web research, gathering up-to-date sources to produce structured, citation-rich reports for topics requiring current information.

Do I need an API key to run Perplexity web research?

Running Perplexity web research requires a PERPLEXITY_API_KEY to spawn the subagent, fetch current information, and return cited source links in the final report.

Can I use this for product documentation verification and topic comparisons?

Product documentation verification and topic comparisons are supported use cases, applying the subagent to gather current information and return concise, structured comparisons with citations.

What's the best way to get a structured report from a Perplexity research query?

The best way to get a structured report from a Perplexity research query is to request the subagent to research a topic and return findings with key takeaways and source citations.