token-diet

SKILLWorkflowcommunity
v0.0.0VDADev2022MITUpdated 3mo agoSource →

Production-ready token optimization: reduce costs 40–75% through retrieval pruning, smart caching, and model routing. Use whenever optimizing API costs, latency, or managing long context—especially for RAG pipelines, high-volume systems, multi-turn conversations, or when context exceeds 2K tokens.

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3Stars
1Clients
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3mo agoLast update
Skill
AuthorVDADev2022
Version0.0.0
LicenseMIT
CategoryWorkflow
Formatsskill.md
PromptNot published
Compatibility
Claude✓ Supported
Cursor
Copilot
ChatGPT
Gemini
About

Production-ready token optimization: reduce costs 40–75% through retrieval pruning, smart caching, and model routing. Use whenever optimizing API costs, latency, or managing long context—especially for RAG pipelines, high-volume systems, multi-turn conversations, or when context exceeds 2K tokens.

Keywords
skillclaude