Maintenance in progress: we are indexing a large batch of new skills. Some pages may load slowly or briefly show no results. Nothing is lost, and everything is back to normal within the hour.
Profile My skills Saved Collections Edit profile Submit a skill

Smart Routing

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

a5c-ai a7470ff 2 files · 1.4 KB Updated 1.7k repo stars
AI & ML

File contents

  • 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

a5c-ai/babysitter/tree/main/library/methodologies/ruflo/skills/smart-routing commit a7470ffa6f

Browse category

Frequently asked questions

npx skillmds add a5c-ai/smart-routing