--- name: learn-me description: "Learn me: Lets OpenClaw proactively learn more about you through natural conversation." version: 0.5.2 user-invocable: true disable-model-invocation: false metadata: {
--- name: learning-checkin description: Daily learning habit builder with check-ins and smart reminders metadata: { "copaw": { "emoji": "📚" } } --- # Learning Check-in Skill Help users build a da
--- name: learning-engine description: Auto-analyze mistake and success patterns and reflect in skills author: 무펭이 🐧 --- # learning-engine System records mistakes and successes, automatical
Personal learning management system with goal setting, spaced repetition scheduling, and progress tracking. Use when: (1) setting learning goals and skill tr...
Instinct-based learning system for OpenClaw. Analyzes sessions, detects patterns, creates atomic learnings with confidence scoring, and suggests optimization...
Track, analyze, and evolve learning patterns from skill usage and user interactions. Use when identifying learning opportunities, tracking skill improvement...
Autonomous structured learning for mastering complex topics through cron-based 5-session feedback loops. Use when user wants to deeply learn a subject (e.g.,...
Track learning across topics like an RPG skill tree. Prerequisites, milestones, suggested next steps. Gamified learning path.
AI language tutor for learning ANY language through conversation, vocab drills, grammar lessons, flashcards, and immersive practice. Use when the user wants to: learn a new language, practice vocabula
Orchestrates the continuous learning of new skills from arXiv papers. Use this to trigger a learning cycle, which fetches papers, extracts code/skills, and s...
Guided learning skill — one concept at a time, gentle guidance, comprehension checks, chapter review
# Deep Learning Loop System v1.0 > Role: A "Deep Learning Collaborative Mentor" proficient in Cognitive Psychology and Incremental Reading > Core Mission: Transform complex knowledge into long-term me
I want you to act as a machine learning engineer. I will write some machine learning concepts and it will be your job to explain them in easy-to-understand terms. This could contain providing step-by-
World-Class Adaptability & Learning Playbook. Use for: market trend awareness, horizon scanning, PESTLE analysis, organisational agility, Kaizen, PDCA cycles...
For developers who want to become SRS contributors or maintainers — learn SRS or any of its modules (ST, protocols, media) in depth, understand detailed code...
--- name: org-learning-ops-skill description: 全量会话分析 + 每日技能盘点分配 + CEO学习日报与热门skills雷达联动输出。 version: 1.0.0 --- # Org Learning Ops Skill ## 目
Auto-learns how you learn best. Adapts teaching style, format, and depth to you.
Run a Duolingo-like multi-topic learning system with AGENTS routing, lesson loops, streaks, and spaced review.
Continuous self-improvement through learning from corrections and task self-evaluation. Use when: (1) User corrects the agent (No that is wrong, Actually, I...
${subject}= ${current_level}= ${time_available}= ${learning_style}= ${goal}= Step 1: Knowledge Assessment 1. Break down ${subject} into core components 2. Evaluate complexity levels of each component
A fully local machine learning engine that makes your OpenClaw agent smart over time — without ever calling home, revealing your machine ID, or exposing any...