/cost-optimize
Analyze token usage patterns and recommend cost optimizations with estimated savings
Claude Code
$ npx -y skills add ruvnet/ruflo --skill cost-optimize --agent claude-code
Codex
$ npx skills add ruvnet/ruflo --skill cost-optimize -a codex -y
Cursor
$ npx skills add ruvnet/ruflo --skill cost-optimize -a cursor -y
Gemini CLI
$ npx skills add ruvnet/ruflo --skill cost-optimize -a gemini-cli -y
GitHub Copilot
$ npx skills add ruvnet/ruflo --skill cost-optimize -a github-copilot -y
OpenCode
$ npx skills add ruvnet/ruflo --skill cost-optimize -a opencode -y
Windsurf
$ npx skills add ruvnet/ruflo --skill cost-optimize -a windsurf -y
SKILL.md
cost-optimize.SKILL.mdname: 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:
# 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
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-patternsRead more
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:
# 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
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📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification. Agent = Model + Harness.
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Questions about cost-optimize.
- Which coding agents can use cost-optimize?
- cost-optimize installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

