cost-optimize

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Analyze token usage patterns and recommend cost optimizations with estimated savings

sparkling By sparkling schedule Updated 5/9/2026

name: cost-optimize description: Analyze token usage patterns and recommend cost optimizations with estimated savings argument-hint: "" allowed-tools: mcp__ruflo__memory_search mcp__ruflo__memory_list mcp__ruflo__memory_store mcp__ruflo__agentdb_pattern-search mcp__ruflo__agentdb_pattern-store mcp__ruflo__agentdb_semantic-route Bash

Cost Optimize

Analyze recent token usage across agents and models, identify waste, and recommend specific optimizations with estimated dollar savings.

When to use

When costs are higher than expected or you want to proactively reduce spending. Analyzes model selection efficiency, cache utilization, agent redundancy, and prompt efficiency.

Steps

  1. Load usage data -- call mcp__ruflo__memory_search on the cost-tracking namespace (last 7 days). The memory_* tools route by namespace; use them — not agentdb_hierarchical-* (which routes by tier).
  2. Analyze model fit -- for each agent, assess whether the model tier matches task complexity:
    • Agents doing simple tasks (formatting, linting) on Sonnet/Opus → suggest Haiku or Agent Booster
    • Agents doing complex tasks (architecture, security) on Haiku → flag quality risk
  3. Check cache rates -- compute cache hit rate per agent; if below 60%, recommend enabling or improving prompt caching (90% cost reduction on cache reads)
  4. Detect redundancy -- look for multiple agents performing overlapping tasks, or agents being spawned for work that could be batched
  5. Estimate savings -- for each recommendation, calculate: current cost, projected cost after optimization, dollar savings, percentage reduction
  6. Search prior optimization patterns -- call mcp__ruflo__agentdb_pattern-search (ReasoningBank-routed; don't pass a namespace argument — pattern-* tools ignore it).
  7. Store the optimization pattern -- two paths:
    • Pattern store (typed, recommended): mcp__ruflo__agentdb_pattern-store with type: 'cost-optimization'. Don't pass a namespace arg — ReasoningBank routes it; on bridge unavailability the fallback writes to the reserved pattern namespace with controller: 'memory-store-fallback' (see ruflo-agentdb ADR-0001).
    • Plain store (namespace-routable): mcp__ruflo__memory_store --namespace cost-patterns — this DOES respect the cost-patterns namespace because memory_* is namespace-routed.
  8. Report -- display: ranked recommendations with savings estimate, total potential savings, implementation priority (quick wins first)

CLI alternative

npx @sparkleideas/cli@latest memory search --query "cost optimization strategies" --namespace cost-patterns
npx @sparkleideas/cli@latest memory store --key "opt-2026-05-04" --value '{...}' --namespace cost-patterns
Install via CLI
npx skills add https://github.com/sparkling/ruflo --skill cost-optimize
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