CUDA kernel development, debugging, and performance optimization for Claude Code. Use when writing, debugging, or optimizing CUDA code, GPU kernels, or parallel algorithms. Covers non-interactive profiling with nsys/ncu, debugging with cuda-gdb/compute-sanitizer, binary inspection with cuobjdump, and performance analysis workflows. Triggers on CUDA, GPU programming, kernel optimization, nsys, ncu, cuda-gdb, compute-sanitizer, PTX, GPU profiling, parallel performance.
Installation
SKILL.md
Measure before guessing. GPU performance is deeply counterintuitive. Profile first, hypothesize second, change third, verify fourth.
Small, isolated changes. CUDA bugs compound. Make one change, test it, commit it. Resist the urge to "fix everything at once."
printf is your strongest tool. When debuggers fail, when tools produce inscrutable output, printf in device code reveals truth. Don't be embarrassed to use it extensively.
CUDA kernel development, debugging, and performance optimization for Claude Code. Use when writing, debugging, or optimizing CUDA code, GPU kernels, or parallel algorithms. Covers non-interactive profiling with nsys/ncu, debugging with cuda-gdb/compute-sanitizer, binary inspection with cuobjdump, and performance analysis workflows. Triggers on CUDA, GPU programming, kernel optimization, nsys, ncu, cuda-gdb, compute-sanitizer, PTX, GPU profiling, parallel performance. Source: technillogue/ptx-isa-markdown.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/technillogue/ptx-isa-markdown --skill cuda- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-05
- Updated
- 2026-02-18
Quick answers
What is cuda?
CUDA kernel development, debugging, and performance optimization for Claude Code. Use when writing, debugging, or optimizing CUDA code, GPU kernels, or parallel algorithms. Covers non-interactive profiling with nsys/ncu, debugging with cuda-gdb/compute-sanitizer, binary inspection with cuobjdump, and performance analysis workflows. Triggers on CUDA, GPU programming, kernel optimization, nsys, ncu, cuda-gdb, compute-sanitizer, PTX, GPU profiling, parallel performance. Source: technillogue/ptx-isa-markdown.
How do I install cuda?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/technillogue/ptx-isa-markdown --skill cuda Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/technillogue/ptx-isa-markdown
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-05