perplexity-research

Community

Web research with citations, fast & factual.

Authordbmcco
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill overcomes Claude's knowledge cutoff by integrating with Perplexity AI, enabling you to conduct up-to-date web research, gather current data, and generate structured, cited reports effortlessly.

Core Features & Use Cases

  • Comprehensive Web Search: Access the latest information beyond Claude's training data.
  • Structured Output: Generate research results in easily parsable JSON or Markdown formats.
  • Citation Tracking: Automatically capture and preserve source URLs for verification and credibility.
  • Use Case: Conduct a competitive intelligence report on a new market, gathering current pricing, product features, and recent news with verifiable sources, then feed the structured output directly into Claude for analysis.

Quick Start

Define the search function

def perplexity_search(query, system_prompt=None): # ... API call logic using requests ... return response_content

Execute a search for latest AI trends

result = perplexity_search("Latest AI trends in drug discovery") print(result)

Dependency Matrix

Required Modules

requestspython-dotenv

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: perplexity-research
Download link: https://github.com/dbmcco/claude-agent-toolkit/archive/main.zip#perplexity-research

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

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