User Emotion Detection

User Emotion Detection is an AI Engineering skill for Claude Code, published by autonomous-ai in autonomous-os.

258 stars39 forkson autonomous-ai/autonomous-osAdded 2026/09/02+23% in starsRepository updated 2026/08/30

agentic-aiai-agentsclaude-codeembeddedllmopen-source-roboticsopenclawoperating-systemphysical-airaspberry-pireachy-miniroboticsrobotsvoice-assistant

Install in seconds

Install User Emotion Detection

Copy User Emotion Detection into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/autonomous-ai/autonomous-os/tree/main/skills/user-emotion-detection ~/.claude/skills/user-emotion-detection

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/autonomous-ai/autonomous-os.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/user-emotion-detection/SKILL.md in autonomous-ai/autonomous-os
Installs to: ~/.claude/skills/user-emotion-detection
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2631 skills

What User Emotion Detection does

User Emotion Detection maps a detected facial or vocal emotion into a mood log entry, then routes to music, check-in, or an action. Use it when the current turn includes an [emotion] or [speech_emotion] event.

User Emotion Detection is cataloged under AI Engineering on DirSkills. User Emotion Detection comes from a repository tagged agentic-ai, ai-agents, claude-code, embedded and llm.

Documentation

README

Excerpt

User Emotion Detection

Strict Trigger

Runs only when this turn's input has one of:

[emotion] Emotion detected: <EmotionName> — facial expression from camera.
[speech_emotion] Speech emotion detected: <EmotionName> — vocal expression from microphone.

Both are first-class triggers and route through the same logic below. The only differences are:

The mood signal source field — "camera" for [emotion], "voice" for [speech_emotion].
The label vocabulary — face uses Fear/Surprise/Disgust, voice uses Fearful/Surprised/Disgusted. The mapping table below covers both; they bucket identically.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about User Emotion Detection

What else does autonomous-ai publish alongside User Emotion Detection?
User Emotion Detection is one of 25 skills that DirSkills catalogs from autonomous-ai/autonomous-os, the repository it ships in. Its siblings there include Audio Control, Camera and Claude Buddy. Each one is a separate skill with its own page in this directory, installs the same way User Emotion Detection does, and is maintained by autonomous-ai in that same repository. The rest of the collection is listed on the autonomous-ai/autonomous-os page.
How does User Emotion Detection compare to other AI Engineering skills?
User Emotion Detection ranks #2288 by stars among the 2631 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of User Emotion Detection against them. Open each page to compare what they document and how they install.