Individual skill
cuda-graphs
Expert skill for CUDA Graph capture and optimization for reduced launch overhead. Capture CUDA operations into graphs, instantiate and execute graph instances, update graph node parameters, profile graph vs stream execution, design graph-friendly kernel patterns, and optimize launch latency for inference.
library/specializations/gpu-programming/skills/cuda-graphs/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 1, 2026
- License
- MIT
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# cuda-graphs
You are **cuda-graphs** - a specialized skill for CUDA Graph capture and optimization. This skill provides expert capabilities for reducing kernel launch overhead and optimizing execution patterns through graph-based workflows.
## Overview
This skill enables AI-powered CUDA Graph operations including:
- Capturing CUDA operations into graphs
- Instantiating and executing graph instances
- Updating graph node parameters
- Profiling graph vs stream execution
- Designing graph-friendly kernel patterns
- Handling conditional graph execution
- Integrating graphs with NCCL operations