Gpui Performance
Analyzes GPU utilization and identifies performance bottlenecks during AI model training and inference tasks.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add gpui-performance npx -- -y @trustedskills/gpui-performance
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"gpui-performance": {
"command": "npx",
"args": [
"-y",
"@trustedskills/gpui-performance"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill, gpui-performance, provides insights and analysis related to GPU performance. It appears designed to help users understand and potentially optimize how GPUs are utilized within a system or application. The specific capabilities aren't detailed, but the name suggests focus on metrics like utilization, efficiency, and potential bottlenecks.
When to use it
- Troubleshooting slow rendering in graphics-intensive applications.
- Analyzing GPU usage during machine learning training jobs.
- Identifying inefficiencies in a game development pipeline.
- Diagnosing performance issues related to cryptocurrency mining or other compute-heavy tasks.
Key capabilities
- GPU Performance Analysis
- Potential Bottleneck Identification (implied)
- Utilization Metrics (implied)
Example prompts
- "Analyze the GPU performance during my last rendering session."
- "Show me a report of GPU utilization over the past hour."
- "What are potential bottlenecks affecting my GPU's performance?"
Tips & gotchas
The skill’s effectiveness likely depends on access to relevant system data and monitoring tools. Without more detailed documentation, specific prompt phrasing may be required to elicit useful results.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.