GindaChenGindaChenCommunityยท1 Agent Skills Included

nsys-ai

GPU profile analysis, bottleneck diagnosis, and run comparison

Analyzes NVIDIA Nsight Systems profiles to find GPU bottlenecks, idle gaps, NCCL communication stalls, and kernel hotspots. Replaces hours of manual timeline inspection with automated triage, MFU calculation, and before/after run comparison. Delivers one root cause with an actionable fix, backed by visual timeline evidence.
npx skills add GindaChen/nsys-ai --all -g -y
Available:

Explains the project architecture, skill system, and agent workflow so the AI agent can correctly run analysis commands and route profile questions to the right diagnostic skills.

All Skills in This Repository (1)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install nsys-ai?โ–ผ

Run `npx skills add GindaChen/nsys-ai --all -g -y` in your terminal to install all skills in this suite globally.

How to find GPU training bottlenecks?โ–ผ

Point the skill at your .sqlite or .nsys-rep profile and it runs automated triage to identify idle gaps, NCCL stalls, or kernel hotspots, then reports one root cause with a fix.

Can nsys-ai compare two profiling runs?โ–ผ

Yes. The diff mode compares before and after profiles, reports regressions and improvements, and gives a verdict on whether your change actually helped.

Does nsys-ai work with Claude Code and Cursor?โ–ผ

Yes. The skills follow the universal SKILL.md standard and run in Claude Code, Cursor, and other compatible coding agents.

Do I need a GPU or CUDA installed to analyze profiles?โ–ผ

No. Analyzing an existing .sqlite profile only requires Python 3.10 or later; a GPU and Nsight are only needed to capture new profiles.

Related Repositories in Software Engineering

View All in Software Engineeringโ†’