---
name: a5c-ai/smart-routing
source: https://app.decimal.ai/s/a5c-ai-smart-routing@1/SKILL.md
source_sha256: d1d48f91d9fc
---

- 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

- `var-to-const` - Variable declaration modernization
- `add-types` - TypeScript type annotation insertion
- `add-error-handling` - Try/catch wrapper insertion
- `async-await` - Promise chain to async/await conversion
- `extract-function` - Code block extraction to named functions
- `add-jsdoc` - Documentation generation

## Agents Used

- `agents/optimizer/` - Performance and cost optimization
- `agents/architect/` - Complex task decomposition

## Tool Use

Invoke via babysitter process: `methodologies/ruflo/ruflo-task-routing`