Loop Vectorizer
MCP Serverby majiayu000 · Added 5mo ago
Claude
76
Install
git clone https://github.com/majiayu000/claude-skill-registryAdd to Claude
claude mcp add loop-vectorizerQuick Setup Config
Copy & paste ready~/Library/Application Support/Claude/claude_desktop_config.json (macOS) %APPDATA%\Claude\claude_desktop_config.json (Windows)
{
"mcpServers": {
"loop-vectorizer": {
"command": "npx",
"args": [
"@modelcontextprotocol/loop-vectorizer"
]
}
}
}Paste into your Claude Desktop config file, then restart Claude.
About
Convert Python loops to vectorized PyTorch tensor operations for performance. This skill should be used when optimizing computational bottlenecks in PyTorch code during Phase 4 performance optimization.
Tags
ai-mlpythongoperformanceskill