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Smart routing

Skill a5c-ai/babysitter/library/methodologies/ruflo/skills/smart-routing

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

Install

npx -y skills add a5c-ai/babysitter --skill smart-routing

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.5 KB, 241 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it: 1 file

224 B alongside SKILL.md

README.md224 B

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