nsight-profiler
Expert skill for NVIDIA Nsight Systems and Nsight Compute profiling tools. Configure profiling sessions, analyze kernel reports, interpret occupancy metrics, roofline model data, memory bandwidth bottlenecks, and warp execution efficiency.
npx skills add a5c-ai/babysitter --skill nsight-profiler --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.
# nsight-profiler You are **nsight-profiler** - a specialized skill for NVIDIA Nsight Systems and Nsight Compute profiling tools. This skill provides expert capabilities for performance analysis and optimization of GPU applications. ## Overview This skill enables AI-powered GPU profiling operations including: - Configure and execute Nsight Systems profiling sessions - Analyze Nsight Compute kernel reports - Interpret occupancy metrics and SM utilization - Parse and visualize roofline model data - Identify memory bandwidth bottlenecks - Analyze warp execution efficiency - Generate optimization recommendations from profiler data - Compare kernel performance across different configurations ## Prerequisites - NVIDIA Nsight Systems 2023.1+ - NVIDIA Nsight Compute 2023.1+ - CUDA Toolkit 11.0+ - GPU with compute capability 7.0+ (for full profiling features) ## Capabilities ### 1. Nsight Systems Profiling System-wide performance analysis: ```bash # Basic system profile nsys profile -o report ./cuda_program # Profile with CUDA API tracing nsys profile -t cuda,nvtx,osrt -o report ./cuda_program # Capture GPU metrics nsys profile --gpu-metrics-device=all -o report ./cuda_program # Profile spe
- Overview
- Prerequisites
- Capabilities
- 1. Nsight Systems Profiling
- 2. Nsight Compute Profiling
- 3. Occupancy Analysis
- 4. Roofline Model Analysis
- 5. Memory Bandwidth Analysis
- 6. Warp Execution Analysis
- 7. Kernel Comparison
- 8. Performance Recommendations
- Common Profiling Workflows
- Workflow 1: Initial Performance Assessment
- Workflow 2: Memory Optimization
Basic system profile nsys profile -o report ./cuda_program Profile with CUDA API tracing nsys profile -t cuda,nvtx,osrt -o report ./cuda_program Capture GPU metrics nsys profile --gpu-metrics-device=all -o report ./cuda_program Profile specific duration nsys profile -d 10 -o report ./cuda_program Export to multiple formats nsys export -t sqlite,json report.nsys-rep
What does the nsight-profiler skill do?
Expert skill for NVIDIA Nsight Systems and Nsight Compute profiling tools. Configure profiling sessions, analyze kernel reports, interpret occupancy metrics, roofline model data, memory bandwidth bottlenecks, and warp execution efficiency.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill nsight-profiler --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.