perplexity_search
This script performs AI-powered web searches using Perplexity models through LiteLLM and OpenRouter. It provides real-time, grounded answers with source citations.
- Skills
- Scientific
- 1
What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/perplexity-search-2 && curl -fsSL https://doutorai.pt/data/lib/skills__perplexity-search-2.md -o .claude/skills/perplexity-search-2/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
#!/usr/bin/env python3
"""
Perplexity Search via LitLLM and OpenRouter
This script performs AI-powered web searches using Perplexity models through
LiteLLM and OpenRouter. It provides real-time, grounded answers with source citations.
Usage:
python perplexity_search.py "search query" [options]
Requirements:
- OpenRouter API key set in OPENROUTER_API_KEY environment variable
- LiteLLM installed: uv pip install litellm
Author: Scientific Skills
License: MIT
"""
import os
import sys
import json
import argparse
from typing import Optional, Dict, Any, List
def check_dependencies(
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