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Child Emotion Recognition Analyzer icon

Child Emotion Recognition Analyzer

AI Agent Updated 2026.08.29

Paste the following prompt into your AI chat to install this skill:

Please install @user_bb47e3e3/child-emotion-recognition-analysis into your AI assistant according to https://skillhub.cn/install/skillhub.md.

About this skill

Problem

In homes, kindergartens, and care centers, caregivers may not be able to watch surveillance footage continuously or respond quickly when a child shows crying, anger, fear, or distress. This skill turns surveillance images or video clips into a practical agent workflow for detecting negative emotions, issuing alerts, and keeping structured reports.

How It Works

  • Input handling: accepts local files or network URLs, including jpg/jpeg/png/mp4/avi/mov, with a 10MB file limit.
  • Recognition: runs the built-in script scripts.child_emotion_recognition_analysis to analyze facial expressions, vocal cues, and body movements in the supplied media.
  • Output: returns a structured report with detected emotion signals, risk notes, recommendations, and a report link.
  • History lookup: uses the --list parameter to query historical reports from the cloud API rather than local memory or manually maintained notes.

Boundaries

The results are reference information only and do not replace adult supervision. In urgent situations, on-site response is still required. The skill does not create temporary scripts and does not ask users for identity parameters; identity association is handled internally. It is suitable for tasks explicitly about child emotion recognition, crying detection, emotion alerts, or historical report review.

Use Cases

  • During childcare duty, upload a surveillance clip and ask the skill to identify child crying or anger and produce a risk report.
  • At home with a child camera, pass a monitoring URL to check for fear or distress and get soothing suggestions.
  • For care-center inspection, retrieve the historical emotion report list from the cloud API and format it as a Markdown table.
  • After a parent raises concerns, upload the relevant surveillance image to extract abnormal-emotion signals and a report link.

Best For

  • Childcare center staff: need to turn surveillance-clip emotion findings into a parent-facing report for crying, anger, or distress.
  • Care-center administrators: need to query the cloud-stored child emotion report list and produce a Markdown table.
  • Home caregivers: need to analyze a home camera image or URL for fear or distress and receive soothing suggestions.
  • AI agent integration engineers: need to call the built-in script for child emotion analysis, history lookup, and structured output.