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Last commit on December 24, 2025·Created on December 16, 2025
technillogue/ptx-isa-markdown
“Structures CUDA debugging and optimization around measured evidence.”
Combined rank
#399
across all skills
In Developer Tooling
#24
category rank
Stars
222
+0.9% in last 7d
Forks
40
0.0% in last 7d
Watchers
1
0.0% in last 7d
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Description
This skill enforces a disciplined workflow for CUDA kernel work: profile before guessing, isolate one change at a time, and use printf, compute-sanitizer, and nsys as primary tools. It is built for GPU compute engineers, HPC performance engineers, and debugging specialists who need a repeatable path from bug to fix and from bottleneck to speedup.
WHO IT'S FOR
GPU Kernel Developers
debugging and optimizing CUDA kernels
AI/ML Engineers
accelerating deep learning models with CUDA
HPC Researchers
writing and profiling CUDA simulations
Debugging and Tooling Engineers
troubleshooting GPU memory errors and race conditions
30 Days of GitHub Stars
+10 stars↑ 5.2% monthly change
Jul 7Jul 14Jul 21Jul 28Aug 5
Compatibility & Install1 Skill · 0 Compatible agents · 3 categories · 2 install paths
Compatible agents
Compatibility not documented
Categories
Developer ToolingSoftware EngineeringDocs
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