Avoid common PyTorch mistakes β train/eval mode, gradient leaks, device mismatches, and checkpoint gotchas.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install pytorchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install pytorchβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/pytorch/π‘Extract and place the folder at the path above, then restart your agent.
Category
π£Marketing & GrowthPlatforms
What PyTorch can do for your AI workflow
Avoid common pytorch mistakes directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,184+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing PyTorch
Help me get started with PyTorch
Explains what PyTorch does, walks through the setup, and runs a quick demo based on your current project
Use PyTorch to avoid common PyTorch mistakes β train/eval mode, gradient leaks, de...
Invokes PyTorch with the right parameters and returns the result directly in the conversation
What can I do with PyTorch in my marketing & growth workflow?
Lists the top use cases for PyTorch, with example commands for each scenario
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PyTorch extends your AI assistant with the ability to avoid common PyTorch mistakes β train/eval mode, gradient leaks, device mismatches, and checkpoint gotchas. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using PyTorch as its underlying capability.
PyTorch works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install PyTorch once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with PyTorch takes about two minutes. Place the skill at `~/.claude/skills/pytorch/` (personal, all projects) or `.claude/skills/pytorch/` (project-specific), then restart your AI client. From that point, typing `/pytorch` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
PyTorch has been installed 1,184 times, making it one of the more actively used skills in the Marketing & Growth category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/pytorch/ for personal use (all projects), or .claude/skills/pytorch/ for project-specific use. Restart your AI client, then invoke with /pytorch or let the AI discover it automatically.
PyTorch supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
PyTorch is free to install. Check the repository for licensing information.
Avoid common PyTorch mistakes β train/eval mode, gradient leaks, device mismatches, and checkpoint gotchas.
Automate my marketing & growth tasks using PyTorch
Identifies repetitive steps in your workflow and sets up PyTorch to handle them automatically
PyTorch is categorized under Marketing & Growth. These skills help AI agents perform specialized tasks in this domain.