skills.rest
Weiwei-Mao
Weiwei-MaoCOMMUNITY
Explore all skills by this author →
GitHub

perplexity-search

Search the web via Perplexity models through LiteLLM and OpenRouter.

2|Updated Feb 2, 2026
Search Tags:#research#web search#search#citations#perplexity#real-time information
One-click install
npx skills add https://github.com/Weiwei-Mao/hydrology-skills --skill perplexity-search-weiwei-mao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: perplexity-search
Source: https://github.com/Weiwei-Mao/hydrology-skills/tree/main/hydrology-skills/perplexity-search
Command: npx skills add https://github.com/Weiwei-Mao/hydrology-skills --skill perplexity-search-weiwei-mao

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 real-time, web-grounded answers with source citations, ideal for finding current information, recent scientific literature, and facts beyond the model's knowledge cutoff.

Core Features & Use Cases

  • AI-Powered Web Search: Utilizes Perplexity models via LiteLLM and OpenRouter for up-to-date information retrieval.
  • Grounded Answers: Provides answers with source citations, ensuring reliability and verifiability.
  • Use Case: When researching the latest advancements in a rapidly evolving scientific field like AI or biotechnology, this Skill can find the most recent papers, news, and developments, providing a comprehensive overview with links to the original sources.

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
Why use AI-powered web search instead of standard model queries for current facts?▼

AI-powered web search is used instead of standard model queries to access real-time data beyond model knowledge cutoffs. It ensures reliability by providing web-grounded answers with direct source citations for verifiable facts.

How do I get real-time web search results with source citations?▼

Real-time web search results with source citations are obtained by using AI-powered Perplexity models through LiteLLM and OpenRouter. This approach retrieves current information and provides grounded answers with verifiable links to original sources.

How do I find recent scientific literature beyond a model's knowledge cutoff?▼

To find recent scientific literature beyond a model knowledge cutoff, perform an AI-powered web search using Perplexity models. This retrieves up-to-date papers and developments, providing a comprehensive overview with links to original sources.

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

Yes, an OpenRouter API key is required to access Perplexity models for web search. Additionally, LiteLLM installation is necessary to facilitate the connection and retrieve real-time, web-grounded answers.

What is the best way to research the latest advancements in rapidly evolving fields?▼

The best way to research advancements in rapidly evolving fields like AI or biotechnology is using an AI-powered web search. It finds the most recent papers, news, and developments, delivering a comprehensive overview with source citations.

Why use AI-powered web search instead of standard model queries for current facts?▼

AI-powered web search is used instead of standard model queries to access real-time data beyond model knowledge cutoffs. It ensures reliability by providing web-grounded answers with direct source citations for verifiable facts.

Related Skills

Explore More Education & Research Skills→
mkurmanmkurman
321

perplexity-search

Perform web searches with Perplexity models via OpenRouter and LiteLLM.

Community
Intermediate
storyclaw-officialstoryclaw-official

tavily-research

Conduct multi-source web research and generate structured markdown reports with citations.

Official
Intermediate
AxelooooAxeloooo

rag-implementation

Implement RAG pipelines with vector retrieval and context-grounded generation.

Community
Intermediate
RamanEbrahimiRamanEbrahimi
3

perplexity-search

Search the web with Perplexity models via LiteLLM and OpenRouter.

Community
Advanced