xiaozhi-learning-dna

Persists consented student learning profiles with cross-session data and preferences.

81|21|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/qizhitang/xiaozhi-skills --skill xiaozhi-learning-dna
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xiaozhi-learning-dna
Source: https://github.com/qizhitang/xiaozhi-skills/tree/main/student/general/xiaozhi-learning-dna
Command: npx skills add https://github.com/qizhitang/xiaozhi-skills --skill xiaozhi-learning-dna

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

该 Skill 将帮助学校场景中记录经学生与监护人授权的长期学习档案,形成可跨会话的学习画像与成长轨迹,从而提升个性化辅导与家校协同的效率。

Core Features & Use Cases

  • 以学习DNA为核心,建立并维护经过同意的学习档案
  • 跨会话记忆、错题分析、情绪与学习动力的关联洞察,支持定制化辅导与提醒
  • 通过成长图谱、里程碑和跨学科知识联接,驱动持续进步与数据回顾

Quick Start

请在授权开启长期档案后,逐步建立档案并启用核心功能以开始记录学习画像。

Frequently Asked Questions about xiaozhi-learning-dna

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a personalized learning profile across multiple sessions?

A cross-session learning profile records student data and preferences to maintain context. This Skill structures information into the LearningDNA schema to enable personalized tutoring and growth tracking across sessions.

How does student learning data handle privacy and consent controls?

Student learning data privacy is maintained through consent controls and least-privilege sharing. The Skill requires explicit authorization before recording any profile data and provides opt-out options for users.

How to track student growth and error patterns across different subjects?

Tracking student growth and error patterns requires mapping data into subjectMap and growthTrack structures. The Skill uses the LearningDNA schema to record errorPatterns and growthMap for cross-subject progress analysis.

Can I use this personalized tutoring tool for school and home collaboration?

This personalized tutoring tool supports school and home collaboration by maintaining authorized long-term learning profiles. It enables guardians and schools to track student growth and share data with least-privilege controls.

What is the best way to analyze learning emotion and memory for customized reminders?

Analyzing learning emotion and memory for customized reminders involves correlating emotional states with progress data. The Skill processes learningEmotion and conversationSummary within the LearningDNA schema to trigger tailored reminders.

What are the limitations of using a persistent student profile for education?

A key limitation of a persistent student profile is the strict dependency on explicit consent. The Skill cannot record cross-session learning data or generate growth tracks without proper authorization and opt-in from students and guardians.