Agent booster
Skill a5c-ai/babysitter/library/methodologies/ruflo/skills/agent-booster
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
npx -y skills add a5c-ai/babysitter --skill agent-boosterAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
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WASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.
SKILL.md
1.6 KB, as published. Nobody here has run it
- 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