By weykon
A Claude Code plugin for Rust GPU compute guidance, focused on GPU execution constraints, performance heuristics, and GPU-friendly Rust patterns.
A qualitative guide for reasoning about Rust GPU compute trade-offs, workload fit, and GPU execution constraints.
Choose a README version:
.claude-plugin/marketplace.json.claude-plugin/plugin.jsonskills/guide/SKILL.md/plugin marketplace add weykon/rust-gpu-compute
/plugin install rust-gpu-compute@rust-gpu-compute-guide
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Sign in to claimnpx claudepluginhub weykon/rust-gpu-compute --plugin rust-gpu-computeGraphics engineering agents providing expertise in GPU programming, shaders, and rendering
Comprehensive Rust development assistant with meta-question routing, coding guidelines, version queries, and ecosystem support
GPU kernel knowledge-base, benchmarking, profiling, and optimization-loop skills for CUDA, Triton, CuTe DSL, CUTLASS, PyTorch, and Nsight Compute workflows.
Rust programming skills: ownership, borrowing, lifetimes, async, and best practices
AMD ROCm 7.2.0 GPU computing stack: HIP kernel development, rocBLAS/rocFFT/rocRAND/rocSOLVER compute libraries, profiling, and CUDA-to-HIP porting
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.