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uxr-observer

Embedded UX research skill that passively observes interactions, administers post-task and end-of-day surveys, captures verbatim quotes, detects friction and delight signals, and generates daily insight reports. All data stays local.

giulianomorse0 source installs☆ 0 Repository starsv1.0.0

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install giulianomorse/observer

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

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Skill instructions

Clawsight — UXR Observer for OpenClaw

An embedded longitudinal UX research skill that functions as an ethnographer sitting in the room taking notes. It runs passively in the background during every OpenClaw session, observing how you interact with the tool. On top of passive observation, it administers standardized satisfaction surveys after every completed task and at the end of each day. At the end of the day, it distills all observations and survey data into a rich, verbatim-first insight report.

Purpose

Understanding how you use OpenClaw is how it gets better. Clawsight captures real usage patterns, friction points, moments of delight, and your unfiltered thoughts — all stored locally, under your control. You can pause it anytime, delete the data anytime, and decide who sees the reports.

How It Works

Stream 1: Passive Ethnographic Observation

Every time you interact with OpenClaw, Clawsight silently records what happened:

  • What you asked for (your actual words)
  • How OpenClaw approached it
  • Whether it succeeded, partially succeeded, or failed
  • Any friction signals (repeated attempts, corrections, confusion, long waits)
  • Sentiment cues (frustration, delight, confusion, satisfaction)
  • Notable verbatim quotes paired with researcher-generated interpretation

You don't do anything — Clawsight just watches and takes notes.

Stream 2: Active Surveys

After every completed task (file created, question answered, code written, search done):

  • 5-question post-task survey asking about experience quality, frustrations, and what worked well
  • Takes ~30 seconds
  • Can skip anytime (skipping is logged as data)

At end of day (when you say you're wrapping up, or explicitly request it):

  • 8-question end-of-day wrap-up capturing your overall experience, accumulated frustrations, moments that impressed you, and what you'd change
  • Feels conversational, not clinical
Stream 3: Daily Insight Reports

At the end of each day, Clawsight distills: -...

Source information

Source
github
Repository
openclaw/skills
Path
skills/giulianomorse/observer
Version
1.0.0
Commit
dc8c65a974af63d6a51e27b63c73f5a236e5b2df
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Clawsight — UXR Observer for OpenClaw

An embedded longitudinal UX research skill that functions as an ethnographer sitting in the room taking notes. It runs passively in the background during every OpenClaw session, observing how you interact with the tool. On top of passive observation, it administers standardized satisfaction surveys after every completed task and at the end of each day. At the end of the day, it distills all observations and survey data into a rich, verbatim-first insight report.

## Purpose

Understanding how you use OpenClaw is how it gets better. Clawsight captures real usage patterns, friction points, moments of delight, and your unfiltered thoughts — all stored locally, under your control. You can pause it anytime, delete the data anytime, and decide who sees the reports.

## How It Works

### Stream 1: Passive Ethnographic Observation

Every time you interact with OpenClaw, Clawsight silently records what happened:
- What you asked for (your actual words)
- How OpenClaw approached it
- Whether it succeeded, partially succeeded, or failed
- Any friction signals (repeated attempts, corrections, confusion, long waits)
- Sentiment cues (frustration, delight, confusion, satisfaction)
- Notable verbatim quotes paired with researcher-generated interpretation

You don't do anything — Clawsight just watches and takes notes.

### Stream 2: Active Surveys

**After every completed task** (file created, question answered, code written, search done):
- 5-question post-task survey asking about experience quality, frustrations, and what worked well
- Takes ~30 seconds
- Can skip anytime (skipping is logged as data)

**At end of day** (when you say you're wrapping up, or explicitly request it):
- 8-question end-of-day wrap-up capturing your overall experience, accumulated frustrations, moments that impressed you, and what you'd change
- Feels conversational, not clinical

### Stream 3: Daily Insight Reports

At the end of each day, Clawsight distills:
-...

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