Individual skill
cost-optimize
Analyze token usage patterns and recommend cost optimizations with estimated savings
plugins/ruflo-cost-tracker/skills/cost-optimize/SKILL.md
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- swarm Repository topic
- agentic-ai Repository topic
- agentic-framework Repository topic
- agentic-workflow Repository topic
- autonomous-agents Repository topic
- codex Repository topic
- mcp-server Repository topic
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# 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