About
TorchServe is a production-ready model serving engine for PyTorch that packages models into MAR files and serves them via REST/gRPC APIs. It's ideal when you need custom preprocessing/inference logic via Python handlers and automatic multi-GPU worker scaling. Use it for handling request batching, load balancing, and managing multiple model versions in deployment.
Quick Install
Claude Code
Recommendednpx skills add cuba6112/skillfactory -a claude-code/plugin add https://github.com/cuba6112/skillfactorygit clone https://github.com/cuba6112/skillfactory.git ~/.claude/skills/torchserveCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the torchserve skill?
torchserve is a Claude Skill by cuba6112. Skills package instructions and resources that Claude loads on demand, so Claude can perform torchserve-related tasks without extra prompting.
How do I install torchserve?
Use the install commands on this page: add torchserve to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does torchserve belong to?
torchserve is in the Development category, tagged api.
Is torchserve free to use?
Yes. torchserve is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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