Agent skill · Workflow & Productivity

smart-routing

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

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill smart-routing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBashGrepGlobWebFetchWebSearchAgentAskUserQuestion
Path: library/methodologies/ruflo/skills/smart-routing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

- 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's inside
Steps it walks through
  1. Routing Tiers
  2. Agent Booster Transforms
  3. Agents Used
  4. Tool Use
Ships with 1 file
  • README.md
More from babysitter
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About this skill
What does the smart-routing skill do?

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

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill smart-routing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going