A professional note-taking skill that enables AI agents to manage structured Cornell Method documentation using Markdown files.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cornell-notes
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install cornell-notes using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Cornell Method Notes?
The Cornell Method Notes skill is a powerful extension for AI agents, designed to bridge the gap between conversational AI and structured personal knowledge management. By utilizing this component of Openclaw Skills, developers and power users can maintain a high-quality knowledge base stored as individual Markdown files in a local directory. It employs the proven Cornell Method, which segments information into notes, cues, and summaries to enhance learning and retention.
This skill provides a complete lifecycle for note management, allowing an agent to create, list, view, search, and delete notes through a specialized CLI script. It is particularly valuable for users who prefer keeping their data in open, human-readable formats like Markdown while benefiting from the automation and intelligence of an AI assistant.
Cornell Method Notes Use Cases
- Creating structured lecture or meeting notes with automated templates.
- Organizing research materials into a searchable personal database.
- Synthesizing complex topics into the Cornell-style summary format for better retention.
- Managing a digital garden of thoughts directly through a command-line or agent interface.
How Cornell Method Notes Works
- The AI agent identifies a note-taking trigger, such as a request to take a note or find existing information.
- The agent executes the bundled python script with specific arguments to interact with the note repository.
- The script manages files within the user's home directory under a dedicated notes folder.
- Notes are processed using YAML frontmatter for metadata and specific Markdown headers for Cornell sections.
- The agent relays the script's output, such as search results or file confirmation, back to the user.
Cornell Method Notes Setup
To get started with this skill, ensure you have the bundled script accessible. You can run it directly from the skill root or move it to a convenient location:
# Copy the script for easy access
cp <skill_root>/scripts/cornell.py /tmp/cornell.py
# Initialize or list your current notes
python /tmp/cornell.py list
# Create a new note with a specific title
python /tmp/cornell.py new "Project Architecture"
Cornell Method Notes Data Schema & Taxonomy
The skill organizes data within the ~/cornell-notes/ directory. Each note is saved as a Markdown file with the following structure:
| Component | Detail |
|---|---|
| File Format | Markdown (.md) with auto-generated slugs |
| Metadata | YAML frontmatter containing title, date, and tags |
| Note Section | Detailed raw notes or observations |
| Cues Section | Keywords, questions, and main ideas |
| Summary Section | A concise synthesis of the note content |
Cornell Method Notes Advanced Features
- Smart referencing: Select notes by number, title, or slug with an interactive picker for ambiguous queries.
- Editor integration: Automatically opens notes in specialized editors like micro or your system's default via environment variables.
- Full-text search: Advanced search capability that highlights keyword matches across your entire note library.
- Automated slugification: Ensures consistent file naming conventions by converting titles into URL-friendly slugs.
SKILL.md
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