service-perplexity-search

Name: service-perplexity-search
Availability: InStock
Author: biomaps-infra

Search the web via Perplexity models through LiteLLM and OpenRouter.

Updated Mar 13, 2026

Search Tags:#research #information retrieval #web search #search #real-time data #perplexity

Ready to run

npx skills add https://github.com/biomaps-infra/blender-opencode --skill service-perplexity-search

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: service-perplexity-search
Source: https://github.com/biomaps-infra/blender-opencode/tree/main/.opencode/skills/service-perplexity-search
Command: npx skills add https://github.com/biomaps-infra/blender-opencode --skill service-perplexity-search

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, AI-powered web search capabilities to find current information, recent scientific literature, and grounded answers with source citations, overcoming model knowledge cutoffs.

Core Features & Use Cases

Real-time Web Search: Access up-to-date information beyond static training data.
Multiple Perplexity Models: Utilize Sonar Pro, Sonar Pro Search, and others via OpenRouter.
Grounded Answers: Get responses with verifiable source citations.
Use Case: When researching the latest advancements in a rapidly evolving scientific field like AI or biotechnology, this skill can fetch the most recent papers, news, and findings, providing a comprehensive overview.

Quick Start

Use the service-perplexity-search skill to find the latest developments in quantum computing.

Frequently Asked Questions about service-perplexity-search

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

FAQPage Schema

How do I get AI-powered web search results with source citations?▼

Real-time web search with source citations is achieved by using Perplexity models through LiteLLM. This fetches current information beyond a model's knowledge cutoff and returns grounded answers with verifiable sources.

How can I find recent scientific literature beyond my LLM's training data?▼

Finding recent scientific literature beyond static training data requires real-time web search capabilities. Querying Perplexity models via OpenRouter retrieves up-to-date papers, news, and findings with verifiable source citations.

Do I need a separate API key for each Perplexity model?▼

A separate API key is not needed for each Perplexity model. A single OpenRouter API key provides access to multiple Perplexity models, such as Sonar Pro and Sonar Pro Search, through LiteLLM.

What is the best way to access real-time data for research and analysis?▼

Accessing real-time data for research is best achieved through AI-powered web search via Perplexity models. This approach routes queries through LiteLLM to deliver current information and grounded answers with source citations for analysis.

Does LiteLLM work with OpenRouter to fetch grounded answers?▼

LiteLLM works with OpenRouter to fetch grounded answers by accessing Perplexity models. This integration enables real-time web searches and retrieves verifiable source citations for up-to-date information retrieval.