perplexity

Automate web-grounded AI responses and live search via the Perplexity API.

22|1|Updated Jan 10, 2026
One-click install
npx skills add https://github.com/itechmeat/llm-code --skill perplexity-itechmeat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: perplexity
Source: https://github.com/itechmeat/llm-code/tree/main/skills/perplexity
Command: npx skills add https://github.com/itechmeat/llm-code --skill perplexity-itechmeat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Perplexity provides web-grounded AI responses and real-time search capabilities via its API, enabling seamless integration into applications to improve the accuracy and timeliness of information.

Core Features & Use Cases

  • Web-grounded Chat Completions: Use sonar models to ground responses in current data.
  • Search API & Pro Search: Integrate real-time searches, filtering, and multi-turn research workflows.
  • SDK compatibility: Works with Python and TypeScript SDKs for broad developer adoption.
  • Use Case: Build a research assistant that retrieves citations and returns structured outputs for reports.

Quick Start

Install the Perplexity SDKs, initialize a client, and run a sample chat or search query.

Frequently Asked Questions about perplexity

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

FAQPage Schema
How do I integrate real-time web search into my chat completions?

You can integrate real-time web search into chat completions by using the Perplexity API with sonar models to ground responses in current data. This Skill automates web-grounded AI responses and live search integration using the Perplexity API.

Can I use the Perplexity SDK with both Python and TypeScript?

Yes, the Perplexity API supports both Python and TypeScript SDKs for broad developer adoption. You can use either SDK to build research-oriented assistants that retrieve citations and return structured outputs.

What is the best way to build a research assistant that returns citations?

The best way to build a research assistant with citations is to use this Skill to automate web-grounded AI responses and live search integration. It applies to chat completions, real-time search, and structured outputs across Python and TypeScript SDKs.

Does the Perplexity API support streaming and JSON-structured outputs?

Yes, the Perplexity API supports streaming, citations, and JSON-structured outputs. You can use these features to build research-oriented assistants, knowledge workers, and data analysts.

Do I need a Perplexity API key to use web-grounded AI responses?

Yes, you need Perplexity API access to use this Skill. The Skill requires Perplexity API access and Python or TypeScript SDKs to automate web-grounded AI responses and live search integration.

What are the limitations of using Perplexity for real-time search integration?

The Perplexity API requires Perplexity API access and Python or TypeScript SDKs to function. It applies to chat completions, real-time search, media attachments, and structured outputs for building research-oriented assistants.