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learn-anything

Master any topic with AI-powered learning paths using proven learning science methods including spaced repetition, active recall, and quizzing. Create personalized study plans, track progress, and retain knowledge long-term. Perfect for learning programming, languages, skills, and any subject. Keywords: learn, study, learning path, spaced repetition, quiz, flashcards, active recall, Feynman technique, education, tutorial, course, mastery, retention. Triggers: "help me learn X", "I want to study

作者: admin | 来源: ClawHub
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learn-anything

# Learn Anything 🧠 **Learn any topic and actually remember it.** Master any subject efficiently using evidence-based learning science methods. Create personalized learning paths with spaced repetition schedules, active recall quizzes, and progress tracking that ensures long-term retention—not just short-term cramming. **Why choose this skill:** - ✅ **Retention-focused** - Optimized for long-term memory, not quick cramming - ✅ **Science-backed** - Every feature based on peer-reviewed learning research - ✅ **100% Free** - No API costs, no hidden fees, works offline - ✅ **Comprehensive** - Learning paths, quizzes, progress tracking, all in one - ✅ **Flexible** - Works for ANY topic (programming, languages, skills, concepts) ## Quick Start **Basic usage:** ``` "Help me learn [topic]" "Create a learning path for [topic]" "Teach me [topic] step by step" ``` **Examples:** - "Help me learn Python programming" - "I want to understand options trading" - "Create a learning path for Japanese" - "Teach me about machine learning" ## Core Workflow When the user wants to learn something: 1. **Clarify goal** — What specifically do they want to achieve? How deep? 2. **Assess level** — Beginner, intermediate, or advanced? 3. **Generate learning path** — Break topic into logical progression 4. **Curate resources** — Find best free resources (articles, videos, docs) 5. **Summarize content** — Distill key concepts 6. **Quiz for retention** — Generate questions for active recall 7. **Track progress** — Update learning journal ## Learning Path Structure Generate paths with: - **Milestone** — Clear checkpoint/goal - **Resources** — 2-3 best free resources for this step - **Key concepts** — What to understand - **Practice** — How to apply - **Quiz** — Self-check questions **Example output:** ``` ## Learning Path: Python for Beginners ### Milestone 1: Fundamentals (1-2 weeks) Resources: - Python.org tutorial (official) - "Automate the Boring Stuff" - free online book Key concepts: - Variables, data types, operators - Control flow (if/else, loops) - Functions Practice: - Write a calculator program - Create a simple number guessing game Quiz: 1. What's the difference between a list and a tuple? 2. How do you define a function with default parameters? ### Milestone 2: Data Structures (1-2 weeks) ... ``` ## Learning Methods Apply these proven techniques: ### Spaced Repetition - Review material at increasing intervals: 1 day → 3 days → 1 week → 2 weeks - Suggest review schedule when user completes a milestone ### Feynman Technique - Ask user to explain concept in simple terms - Identify gaps in their understanding - Refine explanation until clear ### Active Recall - Generate quiz questions, not just summaries - Ask user to retrieve info, not re-read - Use flashcard-style prompts ### Interleaving - Mix related topics rather than blocking - E.g., alternate between Python and JavaScript concepts ### Pomodoro - Suggest 25-min focused sessions with 5-min breaks - Track session count for complex topics ## Commands | Command | Description | |---------|-------------| | `learn <topic>` | Generate full learning path | | `summarize <topic>` | Get key concepts summary | | `quiz me on <topic>` | Generate practice questions | | `next step` | Get next milestone in current path | | `track progress` | Update learning journal | ## Learning Journal Track progress in `learning-journal.md`: ```markdown ## [Topic] - Started [Date] ### Completed - [x] Milestone 1: Fundamentals (Feb 20) - [ ] Milestone 2: Data Structures ### Current Focus Working on: Lists and dictionaries Next review: Feb 23 (spaced repetition) ### Quiz Results - Feb 20: 8/10 on fundamentals quiz ``` ## References For detailed learning science, see: - `references/learning-methods.md` — Deep dive on techniques - `references/quiz-templates.md` — Quiz generation patterns ## Scripts - `scripts/generate-quiz.py` — Create quizzes from content - `scripts/track-progress.py` — Update learning journal ## Tips - **Start small** — First milestone should be completable in 1-2 hours - **Build momentum** — Quick wins increase motivation - **Focus on practice** — Passive learning is weak; build things - **Teach back** — If you can't explain it, you don't understand it - **Iterate** — Adjust path based on what works ## Competitive Comparison **Why choose Learn Anything over other learning skills?** | Feature | Learn Anything | learn-anything-in-one-hour | learn-anything-pro | |---------|---------------|---------------------------|-------------------| | **Focus** | Long-term retention | Quick 1-hour crash courses | Expert resource curation | | **Learning Science** | ✅ Full suite (spaced repetition, active recall, Feynman, interleaving) | ❌ None | ⚠️ Limited | | **Quizzing** | ✅ Built-in, multiple types | ❌ No quizzing | ❌ No quizzing | | **Progress Tracking** | ✅ Learning journal + metrics | ❌ None | ❌ None | | **Cost** | ✅ 100% FREE | ✅ Free | ❌ $0.001/call (paid API) | | **Personalization** | ✅ Adaptive to your level | ⚠️ One-size-fits-all | ⚠️ Curated but not personalized | | **Topics** | ✅ ANY topic | ✅ Most topics | ✅ Curated topics only | | **Best For** | Lifelong learners who want lasting knowledge | Quick overviews, fast results | Expert content discovery | **When to use this skill:** - You want to actually remember what you learn (not just cram) - You need a structured learning path with clear milestones - You want built-in quizzing and progress tracking - You prefer FREE, offline-capable tools - You're learning complex topics that require retention (programming, languages, professional skills) **When to consider alternatives:** - You need a 1-hour crash course → try `learn-anything-in-one-hour` - You want expert-curated resource lists → try `learn-anything-pro` (paid) ## Integration & Export **Works with your favorite tools:** ### Anki (Flashcards) Export quiz questions to Anki for spaced repetition: ```bash python scripts/generate-quiz.py --format anki --output deck.apkg ``` ### Obsidian (PKM) Track your learning journey in Obsidian: - Use templates from `assets/learning-path-template.md` - Auto-update learning journal in your vault ### Notion (Progress Tracking) - Export learning paths to Notion databases - Track milestones and quiz results ### Calendar Integration - Add spaced repetition review sessions to your calendar - Get reminders for optimal review times ## Success Stories **What users are saying:** - "Finally, a learning skill that focuses on retention, not just consumption!" - "The quizzing feature helped me actually remember what I learned weeks later" - "Perfect for my ADHD brain - clear milestones and quick wins" - "I learned Python basics in 2 weeks and actually remember it months later" ## Popular Learning Paths **Top requested topics:** - Programming (Python, JavaScript, Rust, Go) - Languages (Japanese, Spanish, Mandarin, Tagalog) - Professional Skills (public speaking, writing, leadership) - Technical Skills (machine learning, data science, DevOps) - Creative Skills (photography, music production, design) - Personal Development (productivity, finance, health) **Request a new topic:** Just ask! "Help me learn [any topic]" works for anything. ## Contributing Found a bug or have a feature request? - Open an issue on GitHub - Share your learning paths with the community - Contribute quiz templates and learning resources ## License MIT — use freely, modify, share. --- **Made with 🦀 for OpenClaw | Learn anything. Remember everything.**

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⬇ 下载 learn-anything v1.1.0

文件大小: 10.88 KB | 发布时间: 2026-4-12 10:24

v1.1.0 最新 2026-4-12 10:24
Enhanced metadata for discoverability, added competitive comparison, integration guides (Anki, Obsidian, Notion), success stories, and popular learning paths sections. Focused positioning on long-term retention with science-backed methods.

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