Student Classroom Engagement Analysis | 学生课堂情绪参与度分析 skill for OpenClaw

What this skill does

Using a fixed classroom camera, the system analyzes students' facial expressions (focused, confused, happy, frustrated, bored, etc.), computes a class-level overall engagement score (0-100), and can identify low-engagement student positions (no identity stored — for real-time teacher reminders only). Real-time analysis provides engagement heatmaps and abnormal alerts.

The Student Classroom Engagement Analysis | 学生课堂情绪参与度分析 skill is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.

How to install the Student Classroom Engagement Analysis | 学生课堂情绪参与度分析 skill

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
2. Open the in-app Skills panel.
3. Search for smyx-classroom-engagement-analysis-analysis and click Install.
4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add the Student Classroom Engagement Analysis | 学生课堂情绪参与度分析 skill with a single command:

openclaw skills add smyx-classroom-engagement-analysis-analysis

This pulls smyx-classroom-engagement-analysis-analysis from ClawHub and installs it into ~/.openclaw/skills/smyx-classroom-engagement-analysis-analysis/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the Student Classroom Engagement Analysis | 学生课堂情绪参与度分析 skill

Once installed, the Student Classroom Engagement Analysis | 学生课堂情绪参与度分析 skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Manual install (advanced)

If you prefer manual installation:

1. Click the Download skill .zip button above to grab smyx-classroom-engagement-analysis-analysis-1.0.13.zip directly from our S3 mirror.
2. Unzip into ~/.openclaw/skills/smyx-classroom-engagement-analysis-analysis/ (create the directory if it does not exist).
3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Student Classroom Engagement Analysis | 学生课堂情绪参与度分析?

Install Student Classroom Engagement Analysis | 学生课堂情绪参与度分析 in the OpenClaw Easy desktop app by opening the Skills panel, searching for smyx-classroom-engagement-analysis-analysis, and clicking Install. From a terminal you can run: openclaw skills add smyx-classroom-engagement-analysis-analysis. Either way the skill is placed in ~/.openclaw/skills/smyx-classroom-engagement-analysis-analysis/.

Is the Student Classroom Engagement Analysis | 学生课堂情绪参与度分析 skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does Student Classroom Engagement Analysis | 学生课堂情绪参与度分析 do?

Using a fixed classroom camera, the system analyzes students' facial expressions (focused, confused, happy, frustrated, bored, etc.), computes a class-level overall engagement score (0-100), and can identify low-engagement student positions (no identity stored…

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Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

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