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cost-optimize

Analyze token usage patterns and recommend cost optimizations with estimated savings

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=ruvnet-ruflo-plugins-ruflo-cost-tracker-skills-cost-optimize-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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 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). 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 Check cache rates -- compute cache hit rate per agent; if below 60%, recommend enabling or improving prompt caching (90% cost reduction on cache reads) Detect redundancy -- look for multiple agents performing overlapping tasks, or agents being spawned for work that could be batched Estimate savings -- for each recommendation, calculate: current cost, projected cost after optimization, dollar savings, percentage reduction 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). 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. 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: # 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"). 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 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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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
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exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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