LLM Cost Optimizer
CommunitySlash AI costs with caching, routing, and tokens.
Software Engineering#llm#batching#cost-optimization#prompt-caching#cost-savings#model-routing#token-reduction
AuthorNotysoty
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Audits AI applications for unnecessary token spend and recommends prompt caching, model routing, and token reduction techniques to cut costs.
Core Features & Use Cases
- Prompt caching, model routing, token reduction, batching, and output-length control to lower costs across Claude Code, Cline, Cursor, Codex, and other LLM workflows.
- Real-world scenarios include reducing monthly spend for customer-support chatbots and research assistants without compromising response quality.
- The skill provides actionable recommendations and safe defaults to implement cost-saving changes in production.
Quick Start
Provide the system prompts, estimated daily calls, and current model usage, then ask the skill to identify cost-saving opportunities.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: LLM Cost Optimizer Download link: https://github.com/Notysoty/openagentskills/archive/main.zip#llm-cost-optimizer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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