菜单
Provides MT-3000 platform background, compute-memory model, and optimization constraints. Use when analyzing MT-3000 kernels, deciding AM/SM optimization boundaries, or reasoning about memory hierarchy and data movement.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | mt3000-platform-basics |
| description | Provides MT-3000 platform background, compute-memory model, and optimization constraints. Use when analyzing MT-3000 kernels, deciding AM/SM optimization boundaries, or reasoning about memory hierarchy and data movement. |
当任务涉及 MT-3000 代码优化时，先明确三件事：
Provides MT-3000 AM vectorization interfaces and transformation templates. Use when converting scalar kernels to vector kernels, selecting vector templates, or fixing AM vectorization compile issues.
Defines compile-test-feedback loops for MT-3000 kernel generation, including retry polling, error extraction, and report output. Use when validating generated AM/SM code with compiler diagnostics and iterative fixes.
Captures hthreads kernel programming patterns for MT-3000, including thread partitioning, kernel structure, and device-side constraints. Use when generating or reviewing __global__ kernels and task partition logic.
Provides SM cache optimization strategy selection and templates for CACHEd, CACHEs, and CACHEb. Use when optimizing scalar kernels with on-chip cache or when choosing cache strategy by memory access pattern.
