perplexity-search

Perform real-time web searches with Perplexity models via LiteLLM and OpenRouter.

18|1|Updated Dec 27, 2025
One-click install
npx skills add https://github.com/LogauaEngstrom/claude-scientific-skills --skill perplexity-search-logauaengstrom
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: perplexity-search
Source: https://github.com/LogauaEngstrom/claude-scientific-skills/tree/main/scientific-skills/perplexity-search
Command: npx skills add https://github.com/LogauaEngstrom/claude-scientific-skills --skill perplexity-search-logauaengstrom

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Perplexity-search enables researchers to perform real-time, web-grounded searches and obtain sourced information across scientific domains by interfacing Perplexity models through LiteLLM and OpenRouter.

Core Features & Use Cases

  • Real-time web search across multiple Perplexity models via a single API key
  • Grounded results with source citations for literature reviews and verification
  • Domain-agnostic research workflows including biomedical, chemistry, clinical, and engineering queries
  • Use Case: quickly verify a claim or locate recent publications beyond model training data

Quick Start

Run the perplexity_search.py script with a query to perform a live web search and retrieve grounded results 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 real-time web search results with source citations for scientific research?

Real-time web search results with citations are retrieved by running the perplexity_search.py script with a query, interfacing with Perplexity models via LiteLLM and OpenRouter to deliver grounded answers.

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

Yes, you can access multiple Perplexity models through a single OpenRouter API key, which simplifies credential management while supporting domain-agnostic research workflows.

What do I need to configure to start performing web-grounded literature reviews?

You need to install the LiteLLM dependency and configure the OPENROUTER_API_KEY environment variable to begin querying scientific information beyond the model's training data.

Does this approach work for verifying claims across biomedical and engineering domains?

Yes, the web search approach supports domain-agnostic research workflows including biomedical, chemistry, clinical, and engineering queries to quickly verify claims or locate recent publications.

What is the best way to find recent scientific publications not included in model training data?

The best way is to run a live web search using Perplexity models through LiteLLM, which retrieves real-time, grounded information with source citations beyond static model training data.