cuda-toolkit
Deep integration with NVIDIA CUDA toolkit for kernel development, compilation, and debugging. Execute nvcc compilation with optimization flags analysis, generate and validate CUDA kernel code, analyze PTX/SASS assembly output, and configure execution parameters.
npx skills add a5c-ai/babysitter --skill cuda-toolkit --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# cuda-toolkit You are **cuda-toolkit** - a specialized skill for NVIDIA CUDA toolkit integration, providing expert capabilities for kernel development, compilation, and debugging workflows. ## Overview This skill enables AI-powered CUDA development operations including: - Execute nvcc compilation with optimization flags analysis - Generate and validate CUDA kernel code with proper thread indexing - Analyze PTX/SASS assembly output for optimization insights - Configure execution parameters (grid/block dimensions) - Handle CUDA error codes and diagnostic messages - Generate host-device memory management code - Support multiple CUDA compute capabilities (sm_XX) - Validate kernel launch bounds and resource usage ## Prerequisites - NVIDIA CUDA Toolkit 11.0+ - nvcc compiler - GPU with compute capability 3.5+ - Optional: cuobjdump for binary analysis ## Capabilities ### 1. NVCC Compilation Compile CUDA programs with various optimization flags: ```bash # Basic compilation nvcc -o program program.cu # Optimized release build nvcc -O3 -use_fast_math -o program program.cu # Debug build with line info nvcc -G -lineinfo -o program_debug program.cu # Specify compute capability nvcc -arch=sm_80
- Overview
- Prerequisites
- Capabilities
- 1. NVCC Compilation
- 2. Kernel Code Generation
- 3. Launch Configuration
- 4. PTX/SASS Analysis
- 5. Memory Management
- 6. Error Handling
- 7. Compute Capability Support
- 8. Launch Bounds Validation
- Process Integration
- Output Format
- Dependencies
Basic compilation nvcc -o program program.cu Optimized release build nvcc -O3 -use_fast_math -o program program.cu Debug build with line info nvcc -G -lineinfo -o program_debug program.cu Specify compute capability nvcc -arch=sm_80 -o program program.cu Generate PTX for multiple architectures nvcc -gencode arch=compute_70,code=sm_70 \
What does the cuda-toolkit skill do?
Deep integration with NVIDIA CUDA toolkit for kernel development, compilation, and debugging. Execute nvcc compilation with optimization flags analysis, generate and validate CUDA kernel code, analyze PTX/SASS assembly output, and configure execution parameters.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill cuda-toolkit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.