Generate simulated scratch defects, run YOLO model inference with auto-labeling, and merge mouse product defect image datasets with version control.
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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 mouse-yolo-factoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install mouse-yolo-factoryβ 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/mouse-yolo-factory/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Mouse YOLO Factory can do for your AI workflow
Simulated scratch defects, run directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
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 Mouse YOLO Factory
Help me get started with Mouse YOLO Factory
Explains what Mouse YOLO Factory does, walks through the setup, and runs a quick demo based on your current project
Use Mouse YOLO Factory to generate simulated scratch defects, run YOLO model inference with a...
Invokes Mouse YOLO Factory with the right parameters and returns the result directly in the conversation
What can I do with Mouse YOLO Factory in my data & analytics workflow?
Lists the top use cases for Mouse YOLO Factory, with example commands for each scenario
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Mouse YOLO Factory extends your AI assistant with the ability to generate simulated scratch defects, run YOLO model inference with auto-labeling, and merge mouse product defect image datasets with version control. 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 Mouse YOLO Factory as its underlying capability.
Mouse YOLO Factory 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 Mouse YOLO Factory 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.
To install Mouse YOLO Factory, copy the skill folder to `~/.claude/skills/mouse-yolo-factory/` for use across all your projects, or `.claude/skills/mouse-yolo-factory/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/mouse-yolo-factory` or just describe your goal and the AI will pick it up automatically.
Mouse YOLO Factory has 176 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. 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/mouse-yolo-factory/ for personal use (all projects), or .claude/skills/mouse-yolo-factory/ for project-specific use. Restart your AI client, then invoke with /mouse-yolo-factory or let the AI discover it automatically.
Mouse YOLO Factory supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Mouse YOLO Factory is free to install. Check the repository for licensing information.
Generate simulated scratch defects, run YOLO model inference with auto-labeling, and merge mouse product defect image datasets with version control.
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