ReddRadar
Agent skill
agent-booster
WASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/ruflo/skills/agent-booster
SKILL.md
Agent Booster
Overview
WASM-compiled code transformation engine for simple, well-defined tasks. Bypasses LLM inference entirely for pattern-matched transforms, achieving sub-millisecond execution at zero cost.
When to Use
- Simple, deterministic code transforms
- High-frequency repetitive modifications
- When latency is critical (<1ms requirement)
- Cost-sensitive batch operations
Supported Transforms
| Transform | Description | Example |
|---|---|---|
var-to-const |
Modernize variable declarations | var x = 1 -> const x = 1 |
add-types |
Insert TypeScript annotations | function f(x) -> function f(x: string) |
add-error-handling |
Wrap in try/catch | Bare calls -> try/catch blocks |
async-await |
Convert Promise chains | .then().catch() -> async/await |
extract-function |
Extract code blocks | Inline code -> named function |
inline-variable |
Inline single-use variables | Remove intermediate vars |
add-jsdoc |
Generate documentation | Bare functions -> JSDoc comments |
Performance
- Execution: <1ms per transform
- Cost: $0 (no LLM invocation)
- Speedup: 352x compared to LLM inference
- Confidence threshold: >90% pattern match required
Agents Used
agents/coder/- Fallback for unmatched patterns
Tool Use
Invoke via babysitter process: methodologies/ruflo/ruflo-task-routing
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