菜单
Run pytest test suite. Use to verify functionality after code changes or before commits.
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
Run matmul performance benchmarks. Use when user wants to measure TFLOPS, compare kernel performance, or verify correctness after code changes.
SM120 (Blackwell) CUDA expert. Use for wgmma/mma PTX inline assembly, TMA, narrow precision (FP4/FP6/FP8), and block-scaled GEMM development.
View and analyze build logs. Use when user wants to see build errors, check previous build output, or debug build failures.
Run LLM inference tests with Qwen or other models. Use when testing model loading, inference, CUDA Graph, or generation quality.
Run all checks including lint, typecheck, and tests. Use before creating PRs or for comprehensive validation.
CUDA kernel development workflow. Use when writing, testing, or optimizing GPU kernels. Follows the Edit-Build-Validate-Benchmark-Commit cycle.
| name | test |
| description | Run pytest test suite. Use to verify functionality after code changes or before commits. |
Execute pytest test suite.
# Run all tests
python -m pytest tests/ -v
# Run specific test file
python -m pytest tests/test_matmul.py -v
# Run with coverage
python -m pytest tests/ -v --cov=src/pygpukit
# Run only fast tests (skip slow GPU tests)
python -m pytest tests/ -v -m "not slow"
tests/ - Main test directory-v for verbose output-x to stop on first failure