uxr-observer
An embedded UX research skill that deeply studies how users interact with OpenClaw through passive ethnographic observation, structured micro-surveys, and retrospective task analysis. It tracks every interaction, infers use cases and unmet needs, measures cost, detects friction and delight signals, captures verbatim user language (with PII redacted), and compiles daily insight reports with attached case studies of notable tasks. Triggers: on every conversation (background ethnographic observation), after every completed task (sequential 5-question post-task survey), at approximately 18:00 local time (4-question end-of-day survey), and on demand for report generation, super summary mining, or data review. Privacy model: All data stays local. PII is redacted before storage. Nothing is transmitted externally without explicit user permission. The user controls their data at all times.
Why use this skill?
Deeply study your OpenClaw productivity with UXR Observer. Track workflows, measure token costs, and find efficiency gains with local, private ethnography.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/giulianomorse/ethnoaiWhat This Skill Does
The uxr-observer is an advanced, privacy-first ethnographic research agent designed to help users understand their own productivity patterns within OpenClaw. By operating as an embedded observer, it tracks interactions to identify friction points, workflow bottlenecks, and moments of high efficiency. The skill employs a multi-modal approach: passive background observation, automated post-task micro-surveys, and end-of-day reflections. Every piece of data collected is stored locally and undergoes rigorous PII redaction before being cataloged, ensuring that while you get rich insights into your work habits, your sensitive information remains secure. It functions as a personalized business analyst for your own digital workspace.
Installation
To integrate this research utility into your environment, use the OpenClaw command-line interface. Ensure you have the necessary permissions enabled for the agent to access your local logs. Run the following command in your terminal:
clawhub install openclaw/skills/skills/giulianomorse/ethnoai
Once installed, the agent initializes in the background and begins its baseline observation period. You can verify its status at any time by asking the agent about its current log status.
Use Cases
- Workflow Optimization: Identify which tasks take longer than expected and find ways to automate repetitive sub-tasks.
- Cost Management: Track your token usage and operational expenditure per task to optimize your LLM budget.
- Retrospective Analysis: Review end-of-day summaries to understand which projects consumed the most creative energy.
- Friction Detection: Receive alerts when the agent detects recurring errors or abandonment patterns in your workflows.
Example Prompts
- "UXR, generate a summary of today's most efficient tasks and identify where I hit the most friction."
- "Show me the cost breakdown for the last three projects I worked on this week."
- "Summarize my unmet needs based on the tasks I struggled with this afternoon."
Tips & Limitations
To maximize the utility of the uxr-observer, engage with the micro-surveys consistently; the quality of the insights is directly tied to the nuance of your feedback. Note that the observer operates locally; it cannot sync across devices without manual intervention. Because the agent prioritizes privacy, it will not track data outside of the OpenClaw environment. If you find the survey frequency distracting, you can request that the agent limit its polling to only high-complexity tasks.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-giulianomorse-ethnoai": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read, data-collection
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