rlxp-plan-parallel-batch

What problem does it solve?

This Skill helps you organize multiple validated RL experiments across available hardware without mixing tasks, overcommitting budget, or creating conflicting edits.

Core Features & Use Cases

• Parallel Candidate Planning: Rank approved candidates, assign seeds and GPUs, and produce a clear execution order.
• Isolation and Safety: Choose an isolation strategy such as separate worktrees when code or configuration changes could collide.
• Promotion Flow: Define smoke runs, short trials, multi-seed validation, and incumbent checks when the budget allows.
• Use Case: A team has three validated RL candidates and four GPUs, and needs a batch plan that schedules them safely while preserving budget and promotion criteria.

Quick Start

Use the rlxp-plan-parallel-batch skill to create a safe batch plan for the active study using the validated candidates, hardware limits, remaining budget, incumbent, and parallelism cap.