Optimize Perplexity costs through tier selection, sampling, and usage monitoring. Use when analyzing Perplexity billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "perplexity cost", "perplexity billing", "reduce perplexity costs", "perplexity pricing", "perplexity expensive", "perplexity budget".
5.2
Rating
0
Installs
AI & LLM
Category
The skill provides clear guidance on Perplexity cost optimization with practical code examples for cost estimation, usage monitoring, and reduction strategies. The description adequately covers capabilities and trigger phrases. However, the novelty is limited as a CLI agent could easily search pricing documentation, perform basic calculations, and suggest common optimization patterns (caching, batching, sampling) without specialized skill packaging. The task knowledge is strong with concrete TypeScript implementations and SQL queries. Structure is reasonable for a single-file skill, though some sections feel redundant. This skill is more of a documentation reference than a complex workflow that meaningfully reduces token costs for an AI agent.
jeremylongshore
Skill Author
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