learning_skill

Overview

This skill auto-learns how you learn best and continuously adapts teaching style, format, and depth to match your preferences. It observes interactions, detects consistent signals, and updates compact preference entries. The goal is faster comprehension, reduced friction, and personalized learning across academic, professional, and casual contexts.

How this skill works

The skill monitors which explanations, examples, and formats lead to successful outcomes and which do not. After two or more consistent signals, it confirms a preference and records a compact entry describing style, format, and tools. It applies preferences when generating new content and continuously re-evaluates as you provide more signals.

When to use it

• Starting a new learning topic and wanting tailored lesson style
• Preparing for exams or professional upskilling where efficiency matters
• Exploring a hobby or casual subject without a fixed curriculum
• When previous explanations felt too shallow, too dense, or off-format
• Integrating learning with preferred tools or workflows

Best practices

• Provide explicit feedback (like/dislike or short notes) to accelerate preference detection
• Use the skill across diverse sessions so patterns are clear and robust
• Allow the skill to confirm changes only after two consistent signals to avoid flip-flopping
• Keep preference entries compact and actionable to ensure reliable application
• Mix formats occasionally to surface new effective learning modes

Example use cases

• A student who learns faster from worked examples gets explanations restructured into step-by-step problem walkthroughs
• A professional preferring executive summaries receives short bullet overviews before detailed sections
• A hobbyist who prefers videos and diagrams gets recommendations and links prioritized accordingly
• A learner who dislikes long paragraphs receives concise bullets and quick-check quizzes
• An instructor adapting content for a cohort with mixed preferences to optimize engagement