performance-optimize-verify

What problem does it solve?

This skill addresses the challenge of validating performance optimizations in AI inference code across frameworks, ensuring hardware readiness, correct operation, and reproducible results.

Core Features & Use Cases

• Hardware validation: verify hardware availability and health across target devices.
• Environment verification: detect framework type (mindspore/vllm-mindspore and ascend/vllm-ascend), check dependencies, and prepare test env.
• Correctness validation: create and run unit tests to ensure optimized code preserves behavior.
• Performance comparison: optionally compare performance before and after optimization and document results.

Quick Start

Run the performance-verify workflow against your codebase to validate hardware readiness, environment setup, and correctness before releasing optimized versions.