--- name: ascend-triton-operator-development description: Develop a first correct Ascend Triton operator from a PyTorch reference or migrate an existing GPU Triton kernel to Ascend, including semantic audit, explicit task contracts, hardware-aware grid and tiling design, implementation, and handoff to correctness validation. Use for new kernel implementation, CUDA/GPU Triton migration, or repairing a candidate that has not yet passed correctness. Do not use for a kernel that already passes all planned cases and only needs performance tuning, for isolated torch_npu or ACLNN debugging, or for model-level graph failures. --- # Ascend Triton Operator Development Canonical skill source: `.agents/skills/ascend-triton-operator-development/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 `remote-dev ...` or `uv run remote-dev ...`) 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.