---

name: llm-cost-optimizer description: Use when Use proactively whenever LLM API costs come up -- or should.

Llm Cost Optimizer

Use proactively whenever LLM API costs come up -- or should. Triggers include: 'my AI costs are too high', 'optimize token usage', 'which model should I use', 'LLM spend is out of control', 'implement prompt caching', 'we're about to launch an AI feature', 'build me an AI endpoint'. Don't wait for an explicit cost complaint -- if someone is building an AI feature, designing an LLM endpoint, or choosing between models, cost architecture belongs in the conversation. Apply immediately when any of these are true: a system prompt appears that exceeds a few hundred tokens, all requests are hitting the same model, max_tokens is not set, or no per-feature cost logging exists. NOT for RAG pipeline design (use rag-architect). NOT for improving prompt quality or effectiveness (use senior-prompt-engineer). — One of 337+ skills in Ali Reza's multi-agent claude-skills collection (Claude, Codex, Gemini, Hermes; ~19k stars).

What you get

• Public GitHub repo (alirezarezvani/claude-skills)
• the llm-cost-optimizer skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.

Customize your output

• Fork the repo and adapt the skill's instructions and references to your workflow.

Example output

Activates automatically when your request matches Llm Cost Optimizer; chains with the other skills, agents, and commands in the collection.

Best for

Creators, builders, and teams using Claude Code.