--- name: ascend-triton-kernel-optimization description: Profile and iteratively optimize a correctness-passed Ascend Triton kernel with explicit NPU baselines, per-shape measurements, UB live-set and physical-core reasoning, MTE/Vector/Scalar bottleneck attribution, one-hypothesis rounds, noise-aware KEEP/DISCARD decisions, and Run Manifest evidence. Use for single-kernel latency or throughput improvement after all planned correctness cases pass. Do not use to create or migrate the first correct kernel, bypass failed validation, assess whole-model serving regressions, attribute model HBM, or diagnose a non-Triton operator. --- # Ascend Triton Kernel Optimization Canonical skill source: `.agents/skills/ascend-triton-kernel-optimization/SKILL.md` Before using this skill: 1. Read the canonical skill file above. 2. Follow its routing rules, entrypoints, guardrails, and acceptance criteria. 3. Use the remote-dev companion tools (`remote_*` MCP tools; CLI fallback `python3 .agents/scripts/remote_dev.py tool ...`) for ordinary remote endpoint read/edit/bash/search/patch work. 4. Use this Claude project skill only for the domain workflow described by the canonical source.