ReddRadar
Agent skill
LLM Token Optimization
See the main LLM Cost Optimization skill for comprehensive coverage of token economics and optimization strategies.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/llm-token-optimization
SKILL.md
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-management42-cost-engineering/cost-observability
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