Cost Optimize
技能 已验证 活跃Analyze token usage patterns and recommend cost optimizations with estimated savings
To help users reduce LLM operational costs by analyzing token usage patterns and providing actionable recommendations for optimization.
功能
- Analyze token usage patterns
- Recommend cost optimizations
- Estimate dollar savings
- Assess model fit and cache utilization
- Detect agent redundancy
使用场景
- When LLM costs exceed expectations
- To proactively reduce spending on LLM usage
- To optimize model selection for different task complexities
- To improve cache utilization for cost reduction
非目标
- Performing actual cost-saving actions
- Managing external cloud billing accounts
- Analyzing costs unrelated to token usage
工作流
- Load usage data from the 'cost-tracking' namespace
- Analyze model tier fit for task complexity
- Check cache hit rates per agent
- Detect redundant agents or overlapping tasks
- Estimate savings for each recommendation
- Search for prior optimization patterns
- Store new optimization patterns
- Emit model outcome signals for learning
- Report ranked recommendations and total savings
Practical Utility
- info:Usage examplesWhile the SKILL.md describes the workflow and tool usage, explicit end-to-end, ready-to-use examples demonstrating input, invocation, and output are missing.
- info:Edge casesThe SKILL.md mentions analyzing usage data and potential issues like model fit and cache rates, but doesn't explicitly detail failure modes or recovery steps for malformed input or credential issues.
安装
请先添加 Marketplace
/plugin marketplace add ruvnet/ruflo/plugin install ruflo-cost-tracker@ruflo质量评分
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