perplexity-search

Search literature and knowledge sources with cited, grounded answers.

94|11|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/swaruplab/operon --skill perplexity-search-swaruplab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: perplexity-search
Source: https://github.com/swaruplab/operon/tree/main/src-tauri/protocols/perplexity-search
Command: npx skills add https://github.com/swaruplab/operon --skill perplexity-search-swaruplab

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Real-time, web-grounded AI search of literature and knowledge sources is needed to obtain timely, cited information.

Core Features & Use Cases

  • Real-time web search with source citations
  • Access to multiple Perplexity models via OpenRouter
  • Single API key setup with guided troubleshooting
  • Grounded answers suitable for literature reviews, technical documentation, and clinical inquiries

Quick Start

Run a query like 'What are the latest CAR-T trial results in 2024?' to receive a grounded answer with citations.

Frequently Asked Questions about perplexity-search

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

FAQPage Schema
How do I get grounded answers with web search citations for a literature review?

You can perform a real-time web search to receive grounded answers with source citations and usage metrics. This provides up-to-date, cited information suitable for literature reviews and technical documentation.

Do I need an OpenRouter API key to access Perplexity models for web search?

Yes, you need an OpenRouter API key and LiteLLM installed to access multiple Perplexity models. This single API key setup enables real-time web-grounded AI searches across knowledge sources.

What's the best way to find up-to-date clinical trial results using AI?

Using a web-grounded AI search is the best way to find up-to-date clinical trial results. Querying real-time knowledge sources returns grounded answers with citations, specifically suited for clinicians seeking current information.

Can I use LiteLLM to run real-time web searches across technical documentation?

Yes, you can use LiteLLM with an OpenRouter API key to run real-time web searches across technical documentation. This setup retrieves grounded AI answers with citations for developers seeking up-to-date information.

Are there limitations when using Perplexity models via OpenRouter for fact-finding?

The main constraint is the requirement of LiteLLM installation and a valid OpenRouter API key. Without these dependencies configured, the web-grounded AI search for general fact-finding cannot execute or return citations.