fmh66

fmh66/kernel-opt-agent

Plugin Claude Code

Plugin marketplace listing 1 plugin: kernel-opt-agent.

fmh66/kernel-opt-agent

Plugin Claude Code

GPU kernel knowledge-base, benchmarking, profiling, and optimization-loop skills for CUDA, Triton, CuTe DSL, CUTLASS, PyTorch, and Nsight Compute workflows.

fmh66/kernel-opt-agent

Skill Claude CodeCodex

Corpus-backed GPU kernel knowledge base for CUDA, Triton, CuTe, CUTLASS, and Ampere/Hopper/Blackwell kernel research. Use when the user needs to search merged kernel PR pages, inspect PR diff/provenance artifacts, find KernelWiki synthesis pages, query blog/doc/contest notes, or retrieve evidence-backed implementation…

fmh66/kernel-opt-agent

Skill Claude CodeCodex

Standalone kernel benchmarking skill for cuda-cpp, cutlass, cute-dsl, and triton implementations. Use when the user wants to compare a custom CUDA/CUTLASS .cu kernel or CuTe DSL/Triton .py kernel against selectable PyTorch eager, torch.compile, or FlashInfer baselines, validate correctness, measure execution time with…

fmh66/kernel-opt-agent

Skill Claude CodeCodex

Iterative GPU kernel optimization orchestrator for CUDA/CUTLASS/CuTe DSL/Triton kernels. Use for measured, one-change-at-a-time optimization loops with correctness, NCU profiling, KBS evidence, hypothesis discipline, hard iteration gates, final benchmarking, and a traceable report.

fmh66/kernel-opt-agent

Skill Claude CodeCodex

Standalone kernel profiling skill for cuda-cpp, cute-dsl, cutlass, and triton implementations. Checks CUDA/PyTorch/Triton/CuTe DSL/CUTLASS/NCU/nsight-python readiness, optionally locks GPU clocks, validates correctness, collects Nsight Compute metrics with nsight-python, produces envcheck.md, correctness.md…

fmh66/MLIR-OPT-SKILL

Skill Claude CodeCodex

Use when optimizing MLIR GPU performance, compiling PyTorch or linalg/tensor MLIR to PTX, writing Transform dialect schedules, tuning auxiliary pass pipelines, benchmarking MLIR kernels against PyTorch, or diagnosing linalg/torch-mlir GPU codegen.