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This paper presents a two-stage methodology for end-to-end LLM deployment on spatial NPUs, progressing from human-guided development to an autonomous agent skill system. The system achieves speedups of 2.2x on prefill and 4.0x on decode for a reference model, and autonomously deploys eight additional LLMs on AMD XDNA 2 NPU with minimal human guidance.