perplexity-search

Search the web with Perplexity models via LiteLLM and OpenRouter.

8|Updated Nov 19, 2025
One-click install
npx skills add https://github.com/sanand0/scientific-research --skill perplexity-search-sanand0
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: perplexity-search
Source: https://github.com/sanand0/scientific-research/tree/main/.claude/skills/perplexity-search
Command: npx skills add https://github.com/sanand0/scientific-research --skill perplexity-search-sanand0

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides up-to-date information from the web, overcoming the knowledge cut-off limitations of standard AI models and delivering grounded answers with source citations.

Core Features & Use Cases

  • Real-time Web Search: Access current information, recent scientific literature, and breaking news.
  • Grounded Answers: Get answers backed by verifiable web sources.
  • Use Case: Ask "What are the latest clinical trial results for CAR-T therapy published in 2024?" to get the most current research findings.

Quick Start

Use the perplexity-search skill to find the latest developments in CRISPR gene editing.

Frequently Asked Questions about perplexity-search

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

FAQPage Schema
How do I perform a real-time web search to find current scientific literature?

Real-time web search for current scientific literature is performed using AI-powered Perplexity models via LiteLLM, providing grounded information retrieval with source citations to overcome knowledge cut-off limitations.

Can I use a single OpenRouter API key to access multiple Perplexity models?

Yes, a single OpenRouter API key supports multiple Perplexity models including Sonar Pro, Sonar Pro Search, and Sonar Reasoning Pro for conducting domain-specific research and fact verification.

What is the best way to get AI answers with verifiable web citations?

Getting AI answers with verifiable web citations is best achieved through Perplexity models accessed via LiteLLM, which deliver grounded answers backed by current web sources to ensure information accuracy.

Does LiteLLM work with Perplexity models for accessing breaking news?

LiteLLM works with Perplexity models to access breaking news and current information, solving outdated knowledge base problems by retrieving real-time web data through an OpenRouter API key.

How do I verify facts with citations using AI web search?

Fact verification with citations is accomplished by querying Perplexity models through LiteLLM, which retrieves real-time web data and returns grounded answers backed by verifiable sources.

Why does an AI model return outdated information instead of recent developments?

AI models return outdated information due to knowledge cut-off limitations; real-time web search via Perplexity models overcomes this by accessing current web data for the latest research findings.