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smart-routing

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Complexity-based task routing with Q-Learning optimization, Agent Booster WASM fast-path, and Mixture-of-Experts model selection.

library/methodologies/ruflo/skills/smart-routing/SKILL.md

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- When tasks range from simple transforms to complex multi-file changes
- Reducing latency for common code transformations
- Learning from routing history to improve future decisions

## Routing Tiers

| Tier | Target | Latency | Cost |
|------|--------|---------|------|
| Agent Booster | Simple transforms (var-to-const, add-types) | <1ms | $0 |
| Medium | Standard coding tasks | ~500ms | Low |
| Complex | Multi-agent swarm coordination | 2-5s | Higher |

## Agent Booster Transforms
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