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cost-optimize

Analyze token usage patterns and recommend cost optimizations with estimated savings

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ruvnet/ruflo
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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
cost-optimize
description
Analyze token usage patterns and recommend cost optimizations with estimated savings
argument-hint
allowed-tools
mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_list mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store mcp__plugin_ruflo-core_ruflo__agentdb_semantic-route mcp__plugin_ruflo-core_ruflo__hooks_model-outcome 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__plugin_ruflo-core_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__plugin_ruflo-core_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__plugin_ruflo-core_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__plugin_ruflo-core_ruflo__memory_store --namespace cost-patterns` — this DOES respect the `cost-patterns` namespace because `memory_*` is namespace-routed. 8. **Close the routing feedback loop — auto-emit `hooks_model-outcome`** -- for each downgrade recommendation, format the outcome-emit command as part of the recommendation table so it can be run directly: ```bash # success path (downgrade worked) node plugins/ruflo-cost-tracker/scripts/outcome.mjs "<task-description>" <model> success # escalated path (had to upgrade after downgrade attempt) node plugins/ruflo-cost-tracker/scripts/outcome.mjs "<task-description>" <model> escalated ``` The script wraps `npx @claude-flow/cli hooks model-outcome -t ... -m ... -o ...` with explicit-argv `spawnSync` so quoting is safe. Without this signal the router does not learn from cost-tracker's recommendations and the booster bypass rate (see `cost-booster-route` skill) does not improve over time. This is the typed equivalent of the legacy `routing-outcomes` namespace (see ruflo-intelligence ADR-0001 §"Neutral"). 9. **Report** -- display: ranked recommendations with savings estimate, total potential savings, implementation priority (quick wins first), and any model-outcome events emitted in step 8 ## CLI alternative ```bash npx @claude-flow/cli@latest memory search --query "cost optimization strategies" --namespace cost-patterns npx @claude-flow/cli@latest memory store --key "opt-2026-05-04" --value '{...}' --namespace cost-patterns ```
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