LLM Token Optimization
See the main LLM Cost Optimization skill for comprehensive coverage of token economics and optimization strategies.
npx skills add majiayu000/claude-skill-registry --skill llm-token-optimization --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LLM Token Optimization This skill is covered in detail in the main **LLM Cost Optimization** skill. Please refer to: `42-cost-engineering/llm-cost-optimization/SKILL.md` That skill covers: - LLM pricing models (OpenAI, Anthropic, Google, Cohere) - Token economics (input vs output tokens) - Cost optimization strategies (model routing, prompt engineering, caching) - Embedding and vector database costs - RAG system cost breakdown - Cost monitoring and attribution - Budget controls and rate limiting - Open-source model hosting trade-offs - Tools for AI FinOps (Helicone, LangSmith, LiteLLM) - Real-world case studies --- ## Related Skills - `42-cost-engineering/llm-cost-optimization` (Main skill) - `44-ai-governance/model-risk-management` - `42-cost-engineering/cost-observability`
- Related Skills
What does the LLM Token Optimization skill do?
See the main LLM Cost Optimization skill for comprehensive coverage of token economics and optimization strategies.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill llm-token-optimization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.