Implement Perplexity reference architecture with best-practice project layout. Use when designing new Perplexity integrations, reviewing project structure, or establishing architecture standards for Perplexity applications. Trigger with phrases like "perplexity architecture", "perplexity best practices", "perplexity project structure", "how to organize perplexity", "perplexity layout".
4.6
Rating
0
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AI & LLM
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This skill provides a well-structured template for organizing Perplexity integrations with clear layered architecture, code examples, and project layout. However, it suffers from a critical novelty issue: it appears to conflate 'Perplexity' (the AI search API) with generic integration architecture. The reference architecture shown (client wrapper, caching, health checks, error handling) is standard for ANY third-party API integration and could apply to Stripe, Twilio, or any service. A CLI agent could easily generate this boilerplate structure and TypeScript patterns without special guidance. The skill would be more valuable if it addressed Perplexity-specific challenges like citation handling, streaming responses, context management, or search result processing. The structure and documentation quality are good, but the lack of domain-specific insights and the genericness of the patterns significantly limit its utility as a specialized skill.
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