llm-cost-optimization
bynimadorostkar· 59 skills
Use when an LLM feature costs too much. Covers prompt caching, context reduction, model routing, batching, output limits, and finding where the tokens actually go.
How to install llm-cost-optimization?
nimadorostkar/claude-skills-collection/llm-cost-optimization
$npx -y skills add nimadorostkar/claude-skills-collection --skill llm-cost-optimizationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/nimadorostkar/claude-skills-collection" --skill "nimadorostkar/claude-skills-collection/llm-cost-optimization"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/nimadorostkar/claude-skills-collection" that are relevant to the current task. Run `npx skills add "https://github.com/nimadorostkar/claude-skills-collection"` and select the relevant skills, then follow their instructions.
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