uxr-observer
Ethnographic UX research skill that passively observes OpenClaw usage, extracts interaction data, detects friction and delight signals, and generates structured daily research reports. Invoke with /uxr for today's report.
Why use this skill?
Automate UX research for your OpenClaw agent. Passively observe user interactions, detect friction, and generate daily insight reports with the uxr-observer.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/giulianomorse/nutcrackertestWhat This Skill Does
The uxr-observer is an advanced ethnographic UX research tool designed specifically for OpenClaw agents. It functions as a silent, passive observer that monitors how users interact with their AI agent. By analyzing raw session data, it extracts critical insights regarding how users communicate, where they get stuck, and what features bring them the most value. The skill automates the entire research pipeline: it collects interaction data, applies strict PII redaction to protect user privacy, analyzes behavior patterns to identify friction points and 'delight' signals, and generates a structured daily report.
Installation
To integrate this observer into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/giulianomorse/nutcrackertest
Ensure that your OpenClaw instance has the necessary permissions to read session files and execute the underlying Python and shell scripts located in your agent's directory.
Use Cases
- Product Development: Product managers can use this skill to understand which agent capabilities are actually used versus ignored.
- Friction Detection: Identify specific conversational bottlenecks where users repeatedly rephrase requests, indicating a failure in the agent's system prompt or tool logic.
- Behavioral Analysis: Discover 'desire paths'—unintended workflows that users invent to get their work done more efficiently—to inform future design iterations.
- User Satisfaction Tracking: Quantify 'delight' signals to measure the effectiveness of new feature rollouts.
Example Prompts
- "/uxr"
- "/uxr Show me the friction analysis for today's sessions."
- "/uxr Generate a research report covering the last 24 hours of user interactions."
Tips & Limitations
- PII Privacy: The skill includes a dedicated redaction script; always ensure this is running during the data collection phase to avoid storing sensitive information like API keys or user names.
- Storage: Regularly clear out old sessions and generated reports in
~/.openclaw/agents/<agentId>/reports/to save disk space. - Dependencies: The skill relies on specific shell and Python scripts provided in the repository; ensure your environment is configured for these dependencies before installation. If the analysis script fails to execute, check the
sessions.jsonmapping file for corruption.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-giulianomorse-nutcrackertest": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, file-write, data-collection, code-execution
Related Skills
uxr-observer
An embedded UX research skill that continuously studies how users interact with OpenClaw. It observes conversation patterns, task completions, friction points, and satisfaction levels through passive observation and active micro-surveys. Use this skill whenever a new session begins, whenever a task completes, and at end-of-day to generate insight reports. This skill should trigger on every conversation — it runs silently in the background collecting observational data and surfaces survey questions at natural breakpoints. Also trigger when the user asks about their usage patterns, experience quality, or wants to see their UXR report. CRITICAL: This skill never transmits data externally. All data stays local. The user manually shares reports if they choose to.
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