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perplexity-search

Search the web via Perplexity models using LiteLLM and OpenRouter.

Updated Mar 10, 2026
Search Tags:#research#information retrieval#web search#search#real-time#perplexity
One-click install
npx skills add https://github.com/felixboehm/biochem-allergy --skill perplexity-search-felixboehm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: perplexity-search
Source: https://github.com/felixboehm/biochem-allergy/tree/main/.claude/skills/perplexity-search
Command: npx skills add https://github.com/felixboehm/biochem-allergy --skill perplexity-search-felixboehm

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 access to up-to-date information from the web, overcoming the knowledge cutoffs of standard language models and delivering grounded answers with citations.

Core Features & Use Cases

  • Real-time Web Search: Find 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How do I get real-time web search results with source citations instead of outdated model knowledge?▼

Real-time web search results with source citations are retrieved by querying web data through Perplexity models using LiteLLM. This overcomes standard language model knowledge cutoffs by fetching current information and delivering grounded answers with verifiable sources.

Do I need an OpenRouter API key to perform AI-powered web searches?▼

Yes, an OpenRouter API key is required to perform AI-powered web searches. The skill routes requests to Perplexity models via OpenRouter and LiteLLM, requiring both the API key and LiteLLM installation to access current web data.

How does LiteLLM access current scientific literature beyond a model's training data?▼

LiteLLM accesses current scientific literature by routing user queries to Perplexity models that query the live web. This bypasses static model training data, retrieving recent publications and grounded answers with direct source citations.

Can I find breaking news and recent research findings using this AI search approach?▼

Yes, you can find breaking news and recent research findings using this AI search approach. The skill queries live web data via Perplexity models, allowing you to retrieve current information and recent scientific literature like the latest clinical trial results.

What are the limitations of using Perplexity models for information retrieval?▼

Limitations of using Perplexity models for information retrieval include the dependency on external API keys and LiteLLM installation. Additionally, the quality of grounded answers depends entirely on the availability and accessibility of current web sources.

Is perplexity-search the best way to overcome knowledge cutoffs in standard language models?▼

Perplexity-search is a highly effective way to overcome knowledge cutoffs by fetching live web data via LiteLLM. It provides grounded answers with verifiable citations, solving the static knowledge limitation inherent in standard language models.

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