Learn

What This Skill Does

The Learn skill for OpenClaw provides a robust framework for mastery through active recall and spaced repetition (SR). It transforms your local environment into a personalized, high-retention learning management system. By structuring your knowledge base into discrete topics within the ~/learn/ directory, the agent manages your cognitive load, ensures data privacy, and enforces effective study habits. Unlike passive reading methods, this skill mandates active recall, forcing you to retrieve information rather than recognize it, which significantly improves long-term retention. It tracks concept intervals, manages a daily review queue, and maintains mastery progress through a rigorous verification process.

Installation

To integrate the Learn skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/ivangdavila/learn This command clones the necessary source logic from the OpenClaw repository and initializes your directory structure, creating the required ~/learn/topics/ and ~/learn/reviews/ folders upon your first interaction.

Use Cases

• Technical Skill Acquisition: Break down complex programming languages, frameworks, or APIs into manageable concepts with tracked progress.
• Language Learning: Memorize vocabulary and grammatical structures using the built-in spaced repetition algorithm.
• Professional Certification: Prepare for exams by scheduling reviews and undergoing mandatory 5-question verification rounds to ensure conceptual mastery.
• Academic Research: Organize study notes and maintain a rigid schedule for retention of dense theoretical material.

Example Prompts

1. "I want to learn the basics of Rust programming. Create a new topic for me and help me break it down into core concepts."
2. "It is time for my daily study session. What topics are due for review today according to my schedule?"
3. "I have been studying the concept of 'Ownership' for a while. Can you generate 5 verification questions to see if I have mastered it?"

Tips & Limitations

• Be Consistent: The SR algorithm depends on your feedback (easy/good/hard/wrong) to optimize intervals. Be honest in your ratings to prevent over-burdening your review queue.
• Active Recall: Do not skip the prompt-answer cycle. The core benefit of this skill is forced retrieval.
• Privacy: This skill is strictly local. It will never send your study data to external servers or access the internet to fetch learning content. You are responsible for inputting the source material into your notes.md files.