perplexity-search

Perform AI-powered web searches using Perplexity models through LiteLLM and OpenRouter. Perplexity provides real-time, web-grounded answers with source citations, making it ideal for finding current information, recent scientific literature, and facts beyond the model's training data cutoff. This skill provides access to all Perplexity models through OpenRouter, requiring only a single API key (no separate Perplexity account needed). Use this skill when: Do not use for: Get OpenRouter API key : Configure environment : Install dependencies : Verify setup : See references/openrouter_setup.md for detailed setup instructions, troubleshooting, and security best practices. Simple search: Save results: Use specific model: Verbose output: Access models via --model parameter: Model selection guide: See references/model_comparison.md for detailed comparison, use cases, pricing, and performance characteristics. Good examples: Bad examples: Perplexity searches real-time web data: For high-quality results, mention source preferences: Break complex questions into clear components: Example: "What improvements does AlphaFold3 offer over AlphaFold2 for protein structure prediction, according to research published between 2023 and 2024? Include specific accuracy metrics and benchmarks." See references/search_strategies.md for comprehensive guidance on query design, domain-specific patterns, and...