perplexity-search

Perform real-time web searches via Perplexity models with source citations.

Updated May 10, 2026

Search Tags:#web search #AI search #scientific literature #real-time information #source citation

Ready to run

npx skills add https://github.com/Imad-Oute/ResearchForge --skill perplexity-search-imad-oute

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: perplexity-search
Source: https://github.com/Imad-Oute/ResearchForge/tree/main/OpenSource-Projects/claude-scientific-skills/scientific-skills/perplexity-search
Command: npx skills add https://github.com/Imad-Oute/ResearchForge --skill perplexity-search-imad-oute

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

It enables instant, web-grounded information retrieval and research by performing AI-driven searches through Perplexity models using LiteLLM and OpenRouter, providing up-to-date answers with source references.

Core Features & Use Cases

Current Information Gathering: Find recent scientific literature, news, or developments beyond static datasets.
Grounded Answers with Citations: Obtain reliable, source-backed responses for research or fact-checking.
Use Case: For a researcher needing the latest papers on gene editing, this skill fetches recent articles and cites sources directly within the answer.

Quick Start

Ask the AI to search for the latest research on the specified topic, such as "Recent advances in CRISPR technology."

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 information with source citations for scientific research?▼

To get real-time information with source citations for scientific research, you can use AI-driven web search tools that query current web data and return grounded answers with direct references. This approach fetches recent literature and developments beyond static datasets.

How do I set up an OpenRouter API key to access Perplexity models via LiteLLM?▼

To set up an OpenRouter API key for Perplexity models via LiteLLM, you must configure the API key in your environment and install the LiteLLM library. This configuration enables access to multiple Perplexity models for targeted query execution.

Can I find recent scientific literature using AI search models?▼

Yes, you can find recent scientific literature using AI search models. By executing targeted queries against current web data, these models retrieve up-to-date articles and developments, making them suitable for research tasks like finding the latest papers on gene editing.

Does LiteLLM support querying multiple Perplexity models for targeted query execution?▼

Yes, LiteLLM supports querying multiple Perplexity models for targeted query execution. By integrating LiteLLM with an OpenRouter API key, you can access various Perplexity models to perform AI-driven searches and retrieve sourced information.

What are the limitations of using AI-powered web search for technical analysis?▼

The limitations of using AI-powered web search for technical analysis include the dependency on external API keys and specific library installations like LiteLLM. Additionally, the accuracy relies on real-time web data availability, meaning extremely niche or unpublished technical data may not be retrievable.