claude

llm-cost-optimizer

Cut LLM API spend via model routing, prompt caching, prompt compression, and per-feature cost observability. Use when AI costs are too high, choosing between models, or launching an AI feature without cost architecture. NOT for RAG design or prompt quality (separate skills).

29,725 on GitHubby Alireza Rezvaniv2.14.5MITupdated yesterdaydevelopment
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Plugin llm-cost-optimizer from marketplace claude-code-skills in alirezarezvani/claude-skills. Commands read from the repo's manifest — today.

What it installs

Skills (1)

  • llm-cost-optimizer

    Use whenever an LLM feature is being built or its costs come up (model choice, prompt caching, token limits, per-feature spend). Sets routing, caching, max_tokens and cost logging before launch rather than after the bill.

View source on GitHub alirezarezvani.medium.com

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