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multi-resource-allocation-validation

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Validate and repair proposed resource allocations by replaying them against temporary capacity. Use when actions consume several resource dimensions such as CPU, memory, GPUs, or accelerators.

tasks-extra/gpu-cluster-online-scheduling/environment/skills/multi-resource-allocation-validation/SKILL.md

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# Multi-Resource Allocation Validation

Use this skill before returning a batch of resource allocation actions, and after building a feasible schedule to make small objective improvements.

## Core Workflow

Replay every proposed action against a temporary resource state. A placement is valid only if each required resource remains non-negative after applying all earlier placements in the same batch. Do not validate each placement only against the original observation.

Example field names vary by task, but common reminders include `cpu_free`, `memory_free`, and `gpu_slots[*].free_gpu_units`.

## Replay Skeleton

Use replay validation as the final gate before returning actions:
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