smart-routing

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name: smart-routing description: Complexity-based task routing with Q-Learning optimization, Agent Booster WASM fast-path, and Mixture-of-Experts model selection. allowed-tools: Read, Write, Edit, Bash, Grep, Glob, WebFetch, WebSearch, Agent, AskUserQuestion graph: domains: [domain:software-engineering] skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop] workflows: [workflow:feature-development] topics: [topic:developer-experience] roles: [role:tech-lead, role:backend-engineer]

• 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