Mmcp.market

smart-routing skill

by a5c-ai·a5c-ai/babysitter·1.8k stars·MIT

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

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Clean: nothing in its files matched our rules. We read 2 files in the folder on 2026-09-28.

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Install the smart-routing skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description. 

git clone --depth 1 https://github.com/a5c-ai/babysitter.git /tmp/babysitter
mkdir -p ~/.claude/skills
cp -r /tmp/babysitter/library/methodologies/ruflo/skills/smart-routing ~/.claude/skills/smart-routing
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

  • 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

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

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