# nsight-gpu-trace

> nsight-gpu-trace — xirreal-nsight-gpu-trace. Use this tool when you need to analyze and visualize NVIDIA GPU performance, solving problems related to graphics rendering and compute workloads. It takes NVIDIA Nsight Graphics GPU Trace captures as input and provides outputs in Rust, JSON, and MCP formats through a CLI interface. Ideal for optimizing graphics applications and identifying performance bottlenecks in GPU-accelerated workloads.

Canonical page: https://skillsregistry.net/skills/xirreal-nsight-gpu-trace  
JSON: https://api.skillsregistry.net/v1/skills/xirreal-nsight-gpu-trace

## Description

Read and analyze NVIDIA Nsight Graphics GPU Trace captures with Rust, JSON CLI, and MCP

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/xirreal/nsight-gpu-trace)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "xirreal-nsight-gpu-trace"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xirreal-nsight-gpu-trace` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xirreal-nsight-gpu-trace/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
