xiaozhi-cornell-notes

Name: xiaozhi-cornell-notes
Availability: InStock
Author: qizhitang

Extract left-column cues and bottom summaries from Cornell notes into a structured Notes DNA archive.

81|21|Updated Apr 25, 2026

Search Tags:#note-taking #ai-powered #cross-disciplinary #dna #study-tools #knowledge-network #cornell-notes

Ready to run

npx skills add https://github.com/qizhitang/xiaozhi-skills --skill xiaozhi-cornell-notes

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: xiaozhi-cornell-notes
Source: https://github.com/qizhitang/xiaozhi-skills/tree/main/student/general/xiaozhi-cornell-notes
Command: npx skills add https://github.com/qizhitang/xiaozhi-skills --skill xiaozhi-cornell-notes

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

## What problem does it solve? Cornell notes often remain static and underutilized after class. This SKILL activates when notes are uploaded or requested, transforming static notes into a dynamic, cross-disciplinary knowledge network by extracting left-column cues, generating bottom summaries, and organizing them into a searchable Notes DNA archive for timely recall.

## Core Features & Use Cases

Auto-extract left-column cues from right-column notes and produce a concise bottom summary.
Store extracted data in a structured Notes DNA with metadata and cross-link capabilities.
Enable on-demand prompting during mistakes, review, and cross-subject exploration, with cross-disciplinary linking.

### Quick Start 拍照上传课堂笔记后，系统会自动提炼线索问题与底部总结并存入笔记DNA以便按需检索。

Frequently Asked Questions about xiaozhi-cornell-notes

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

FAQPage Schema

How do I extract left-column cues and summaries from Cornell notes automatically?▼

Yes, you can archive Cornell notes by uploading photos of your physical classroom notes. The system processes the photo ingestion, automatically extracts the core content, and stores it in a structured Notes DNA archive with metadata tagging for easy retrieval.

How does a Notes DNA archive help with cross-disciplinary knowledge linking?▼

A Notes DNA archive helps with cross-disciplinary knowledge linking by storing extracted cues and summaries with metadata tags like keywords, dates, and topics. This structured storage enables on-demand retrieval and proactive prompting to connect concepts across different subjects during study and revision.

Can I retrieve specific Cornell notes during error analysis and revision?▼

Yes, you can retrieve specific Cornell notes during error analysis and revision through on-demand prompting. The system allows you to query the Notes DNA archive using keywords, dates, topics, or custom prompts to surface relevant notes exactly when needed.

What is the best way to organize static class notes into a searchable knowledge network?▼

The best way to organize static class notes into a searchable knowledge network is to automate the extraction of cues and summaries, then tag them with metadata. This transforms unused notes into a dynamic archive that actively prompts you with relevant information during study sessions.

Do I need to manually tag metadata when archiving study notes for cross-subject exploration?▼

No, you do not need to manually tag metadata when archiving study notes. The system handles metadata tagging automatically during the AI-driven extraction process, assigning keywords, dates, and topics to enable seamless cross-subject exploration and proactive retrieval.