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Run all checks including lint, typecheck, and tests. Use before creating PRs or for comprehensive validation.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
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.
CUDA kernel development workflow. Use when writing, testing, or optimizing GPU kernels. Follows the Edit-Build-Validate-Benchmark-Commit cycle.
Run Ruff linter and formatter on Python code. Use before commits or when checking code style and quality issues.
| name | check-all |
| description | Run all checks including lint, typecheck, and tests. Use before creating PRs or for comprehensive validation. |
Complete validation including lint, types, and tests.
# 1. Lint
git ls-files "*.py" | xargs python -m ruff check
# 2. Mypy
python -m mypy src/ --ignore-missing-imports --disable-error-code=union-attr --disable-error-code=no-redef --disable-error-code=no-any-return --disable-error-code=attr-defined --disable-error-code=assignment --disable-error-code=arg-type --disable-error-code=index --disable-error-code=misc
# 3. Tests
python -m pytest tests/ -v
# 4. Benchmark (optional)
python scripts/benchmark.py --quick
--fix)gh pr create