xiaozhi-teach-student-intake

Name: xiaozhi-teach-student-intake
Availability: InStock
Author: qizhitang

Converts auditions into structured intake profiles with diagnostic and trial-lesson planning.

81|21|Updated Apr 25, 2026

Search Tags:#privacy #data-minimization #independent-teacher #student-intake #trial-lesson #diagnostic-assessment #dashboard-integration

Ready to run

npx skills add https://github.com/qizhitang/xiaozhi-skills --skill xiaozhi-teach-student-intake

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: xiaozhi-teach-student-intake
Source: https://github.com/qizhitang/xiaozhi-skills/tree/main/teacher/independent/xiaozhi-teach-student-intake
Command: npx skills add https://github.com/qizhitang/xiaozhi-skills --skill xiaozhi-teach-student-intake

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Independent teachers often struggle to turn auditions into structured student intake, resulting in incomplete student profiles, poor risk assessment, and inconsistent follow-up.

Core Features & Use Cases

Minimal data collection aligned with privacy: anonymized aliases, essential contact, and schedule preferences.
5W 需求访谈、学情诊断、试讲课设计与试听记录等核心流程的系统化执行。
自动生成正式学员档案并与 solo-dashboard / 学情分析工具对接，形成完整的教学起点。

Quick Start

Initiate a new audition, capture a minimal anonymized profile, run a diagnostic plan, and generate a formal student archive.

Frequently Asked Questions about xiaozhi-teach-student-intake

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

FAQPage Schema

How do I convert student trial lessons into structured intake profiles for independent teaching?▼

Structured student intake for independent teachers works by collecting minimal anonymized data, conducting 5W needs interviews, establishing diagnostic baselines, and designing trial lessons to generate formal archives. This systematic approach ensures complete profiles and consistent follow-up.

What is privacy-driven data minimization for student onboarding?▼

Privacy-driven data minimization for student onboarding involves collecting only essential anonymized aliases and schedule preferences instead of extensive personal records. This enforces privacy protection while still enabling effective diagnostic baselines and trial-lesson design.

How do I run a 5W needs interview and diagnostic assessment for new students?▼

To run a 5W needs interview and diagnostic assessment, initiate an audition flow that systematically captures student needs, establishes diagnostic baselines, and designs tailored trial lessons. The process automatically generates a formal student archive for ongoing supervision.

Can I integrate student intake archives with solo-dashboard and analytics tools?▼

Yes, you can integrate student intake archives with solo-dashboard and analytics tools. The skill automatically interfaces with these platforms during archive creation, forming a complete teaching starting point for ongoing supervision and data analysis.

What is the best way to manage auditions for independent teachers without risking student privacy?▼

The best way to manage auditions while protecting privacy is using a data-minimization approach that collects anonymized aliases and essential contact information only. This converts auditions into structured profiles while enforcing privacy-driven data handling throughout the intake process.