Human-feedback-driven model optimization — preference data collection, reward modeling, policy updates, and alignment evaluation.
Scanned 9/2/2026
Install to Claude Code
Skills Directorynpx -y skills add a5c-ai/babysitter --skill rlhf-systems --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: rlhf-systems
description: Human-feedback-driven model optimization — preference data collection, reward modeling, policy updates, and alignment evaluation.
allowed-tools: Read, Write, Edit, Bash, Glob, Grep
graph:
domains: [domain:ml-ops, domain:machine-learning]
specializations: [specialization:data-science-ml]
skillAreas: [skill-area:rlhf-systems]
roles: [role:ml-engineer]
---
# RLHF Skill
> Stub — implementation pending.
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