Ethnographic UX research skill that passively observes OpenClaw usage, extracts interaction data, detects friction and delight signals, and generates structu...
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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 nutcrackertestOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install nutcrackertestβ 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/nutcrackertest/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What nutcrackertest can do for your AI workflow
Ethnographic ux research skill 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 nutcrackertest
Help me get started with nutcrackertest
Explains what nutcrackertest does, walks through the setup, and runs a quick demo based on your current project
Use nutcrackertest to ethnographic UX research skill that passively observes OpenClaw usa...
Invokes nutcrackertest with the right parameters and returns the result directly in the conversation
What can I do with nutcrackertest in my data & analytics workflow?
Lists the top use cases for nutcrackertest, with example commands for each scenario
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nutcrackertest extends your AI assistant with the ability to ethnographic UX research skill that passively observes OpenClaw usage, extracts interaction data, detects friction and delight signals, and generates structu... 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 nutcrackertest as its underlying capability.
nutcrackertest 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 nutcrackertest 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.
nutcrackertest installs like any other MCP skill: drop the folder into `~/.claude/skills/nutcrackertest/` for global access, or `.claude/skills/nutcrackertest/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/nutcrackertest`, or let the AI decide when it's the right tool for your request.
nutcrackertest has 286 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/nutcrackertest/ for personal use (all projects), or .claude/skills/nutcrackertest/ for project-specific use. Restart your AI client, then invoke with /nutcrackertest or let the AI discover it automatically.
nutcrackertest supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
nutcrackertest is free to install. Check the repository for licensing information.
Ethnographic UX research skill that passively observes OpenClaw usage, extracts interaction data, detects friction and delight signals, and generates structu...
Automate my data & analytics tasks using nutcrackertest
Identifies repetitive steps in your workflow and sets up nutcrackertest to handle them automatically
nutcrackertest is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.