wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Claude Code skill (trtllm-agent-toolkit): implement or extend TensorRT-LLM AutoDeploy fusion transforms under transform/library/ in a TensorRT-LLM checkout. Prefer existing kernels and custom ops; use Triton only when no viable existing-kernel path exists. Use ad-graph-dump for ADDUMPGRAPHSDIR workflows. Covers…
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Step-by-step tutorial for adding new CUDA kernels to FlashInfer.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Step-by-step tutorial for adding a new lightweight JIT CUDA kernel to sglang's jitkernel module.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Step-by-step tutorial for adding a heavyweight AOT CUDA/C++ kernel to sgl-kernel (including tests & benchmarks).
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
FlashInfer — High-performance kernel library for LLM inference with optimized attention, paged KV-cache, FP8/FP4 quantization.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
This skill should be used when optimizing AMD GPU kernels on MI300 using the aiter project, including running op tests, benchmarking, iterating on kernel changes, and recording results in the kernel experiment database.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Optimize inference latency and throughput of PyTorch models on AMD GPUs (MI250/MI300/MI350) with ROCm. Use when profiling and optimizing GEMM, attention, elementwise ops, torch.compile, CUDAGraphs, or Triton kernels on AMD hardware. Covers the full optimize cycle: benchmark → profile → analyze → implement → verify.…
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Port NVIDIA CUDA codebases to AMD ROCm GPUs. Use when making PyTorch models run on AMD GPUs, replacing NVIDIA-specific libraries with AMD equivalents, fixing ROCm build/runtime failures, or porting C/C++ CUDA kernels to HIP. Also covers dependency debugging and environment setup on ROCm Docker images.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Run AI-driven benchmark searches on AMD ROCm with tiered server-flag sweeps for vLLM/SGLang, canonical dataset preparation, SLA or fixed-QPS benchmarking, CSV export, and resume. Adapted from SGLang auto-benchmark for MI355X (gfx950) / MI300X (gfx942) on ROCm 7.x. Use when the user wants an automated benchmark…
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Guide the agent through identifying, classifying, and restructuring warp divergence in CUDA kernels — distinguishing avoidable from unavoidable divergence, applying correct restructuring strategies, and assessing the real performance impact before spending engineering effort.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Guide for benchmarking FlashInfer kernels with CUPTI timing.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Guide the agent through selecting the correct and efficient thread block dimensions and grid dimensions for a CUDA kernel, covering occupancy analysis, register and shared memory constraints, tail effects, persistent kernels, and when to use cudaOccupancyMaxActiveBlocksPerMultiprocessor as a decision tool.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Guide the agent through selecting tile sizes and work partitioning strategies for a CUDA or Triton kernel, based on shared memory budget, register pressure, occupancy targets, problem shape, and access pattern.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
You are a PyTorch and CUDA expert. Accelerate the given PyTorch Model by creating a high-performance CUDA C++ extension, targeting the best possible performance with a minimum requirement of 5% faster than torch.compile baseline.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
NCU-driven iterative optimization workflow for CUDA/CUTLASS/Triton/CuTe DSL kernels. MANDATORY: every optimization MUST start with NCU profiling, followed by multi-dimensional analysis, then targeted code modification, then re-profiling to verify. Supports roofline, memory hierarchy, warp stalls, instruction mix…
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
A reference guide to the CUDA C programming interface, which lets C programs use NVIDIA GPUs for parallel computation.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
A guide to core CUDA C concepts, kernel structure, and standard programming patterns. CUDA C is used to run suitable computations on NVIDIA graphics processors.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
A set of guidance for optimizing CUDA C programs, keeping numerical results stable, and investigating bugs. CUDA C is used to run parts of programs on NVIDIA graphics processors.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
A guide to three common CUDA C programming patterns for running work on NVIDIA GPUs.
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Generates optimized CUDA kernel code based on performance analysis reports or algorithm type. Reads NCU analysis reports (e.g. analysis.md) and optionally existing kernel code, then produces high-quality compilable .cu files with applied optimizations. Use when the user provides an NCU analysis report or requests CUDA…
wenyi-li/awesome-agent-kernel-skills
Skill Claude Code
Provides guidance for writing and benchmarking optimized CUDA kernels for NVIDIA GPUs (H100, A100, T4) targeting HuggingFace diffusers and transformers libraries. Supports models like LTX-Video, Stable Diffusion, LLaMA, Mistral, and Qwen. Includes integration with HuggingFace Kernels Hub (getkernel) for loading…
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
CUDA kernel development, debugging, performance optimization, linear algebra, and multi-GPU communication for Claude Code. Use when writing, debugging, or optimizing CUDA code, GPU kernels, parallel algorithms, or CUDA library calls. Covers cuBLAS/cuBLASLt GEMM operations, CUDA Math API (half, bfloat16, FP8, FP6…
wenyi-li/awesome-agent-kernel-skills
Skill Claude CodeCodex
Orchestrates a full profiling-driven CUDA kernel optimization loop (write → validate → profile → analyze → optimize) until performance converges or no further gains are possible. Capabilities include generating reference implementations, writing initial kernels via cuda-code-generator, running correctness validation…
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