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perplexity-cost-tuning

5.2

by jeremylongshore

166Favorites
59Upvotes
0Downvotes

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".

cost optimization

5.2

Rating

0

Installs

AI & LLM

Category

Quick Review

The skill provides clear guidance on Perplexity cost optimization with concrete code examples for cost estimation, usage monitoring, and reduction strategies. The description adequately covers capabilities for tier selection and monitoring. However, novelty is low as these are straightforward cost optimization techniques (sampling, batching, caching) that a CLI agent could implement with basic prompting. The structure is reasonable for a single-file skill, though some sections could be more concise. The main value is consolidating Perplexity-specific pricing tiers and patterns, but the cost calculation and monitoring logic is simple enough that it doesn't dramatically reduce token usage compared to asking a CLI agent directly.

LLM Signals

Description coverage7
Task knowledge8
Structure6
Novelty2

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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