OpenClaw

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 来源安装数☆ 0 仓库 Starsv1.0.0

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install giulianomorse/observer

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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: -...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/giulianomorse/observer
Version: 1.0.0
Commit: dc8c65a974af63d6a51e27b63c73f5a236e5b2df
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

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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