Learn FASTER

AI-powered learning coach that accelerates mastery through spaced repetition, personalized syllabi, and active practice.

Built for Claude Code - Integrates AI coaching directly into your development environment.
Also supports Codex with agent-specific AGENTS.md instructions and shared learning tools. Codex support is less strict than Claude Code because Codex does not currently expose a CLI flag for replacing the system prompt; Learn FASTER can only inject coaching behavior through AGENTS.md, startup prompts, or future skill-style instructions.

Why Learn FASTER?

Master any technical skill with science-backed learning principles:

• Personalized syllabi generated for your skill level and learning goals
• Spaced repetition system that schedules reviews at optimal intervals
• Four learning modes - choose Balanced, Exam-Prep, Theory-Focused, or Practical
• Active practice with auto-generated exercises and projects
• Progress tracking to visualize your learning journey

The FASTER Framework

• Forget: Beginner's mindset - approach topics with fresh perspective
• Act: Learn by doing - hands-on practice over passive reading
• State: Optimize focus - create ideal learning conditions
• Teach: Explain to retain - teaching reinforces understanding
• Enter: Consistent sessions - regular practice builds momentum
• Review: Spaced repetition - review at intervals for long-term retention

Installation

Prerequisites: uv package manager

# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

Option 1: Persistent Installation (Recommended)

Install once and use across all projects:

uv tool install learn-faster --from git+https://github.com/cheukyin175/learn-faster-kit.git

Then in any project directory, simply run:

learn-faster

This will auto-initialize on first run and launch Claude Code with FASTER coaching mode.

Option 2: One-Time Use

Run directly without installation:

uvx --from git+https://github.com/cheukyin175/learn-faster-kit.git learn-faster

What Gets Installed

On first run, learn-faster creates shared learning tools plus agent-specific instructions.

For Claude Code:

your-project/
├── .claude/
│   ├── agents/practice-creator.md
│   ├── commands/
│   │   ├── learn.md
│   │   ├── review.md
│   │   └── progress.md
│   └── settings.local.json
├── .learning/
│   ├── config.json (tracks initialization)
│   ├── scripts/
│   │   ├── init_learning.py
│   │   ├── log_progress.py
│   │   ├── review_scheduler.py
│   │   └── generate_syllabus.py
│   └── references/faster_framework.md
└── CLAUDE.md

For Codex, run learn-faster init --agent codex. It creates the same .learning/ shared tools and writes Codex instructions to AGENTS.md. Because Codex does not provide a system-prompt replacement flag, adherence depends on Codex reading those project instructions and the launch prompt.

Quick Start

1. Install the tool

   uv tool install learn-faster --from git+https://github.com/cheukyin175/learn-faster-kit.git
   

2. Launch in any project directory

   cd your-learning-project
   learn-faster
   

   First run will:

   • Prompt you to select a learning mode
   • Initialize the project structure
   • Launch your configured agent with FASTER coaching enabled

3. Start learning

   /learn "Golang fundamentals"
   

   The AI coach will generate a personalized syllabus and guide your learning session.

Demo: Teach-Back in Action

The "T" in FASTER—teaching to retain—is the key differentiator. Here's how it works:

mkdir learn-go && cd learn-go
learn-faster                    # Select "Balanced" mode
/learn "Go error handling"      # In Claude Code

Coach: You've just learned about error wrapping. Ready to teach it back?
       ┌ Teach Back
       │ ● Yes, let me explain
       │ ○ Need review first
       │ ○ Not sure yet
       └

You:   So when you wrap an error with fmt.Errorf and %w, you're adding
       context like "failed to open config" while keeping the original
       error inside. Then errors.Is can still match the root cause.

Coach: ✅ Great explanation! You nailed the key insight—wrapped errors
       preserve the chain for inspection. Adding "error wrapping" to
       your review schedule. First review tomorrow.

Why this works: Explaining concepts in your own words forces active recall—proven to boost retention 2-3x vs passive reading. The coach won't just tell you answers; it guides you to construct understanding yourself.

Usage

CLI Commands

• learn-faster - Launch Claude Code with FASTER coaching (auto-initializes on first run)
• learn-faster init - Force re-initialization or switch learning modes
• learn-faster init --agent codex - Initialize the project for Codex instead of Claude Code
• learn-faster version - Show current version

Claude Code Slash Commands

Once Claude Code is running, use these commands:

• /learn [topic] - Start or continue learning a topic with personalized syllabus
• /review - Spaced repetition review session for topics you've learned
• /progress - View detailed progress report and learning statistics

Learning Modes

Choose the mode that fits your learning style:

• Balanced - Mix of theory, practice, and real-world application (recommended for most learners)
• Exam-Prep - Focused on recall, practice tests, and certification preparation
• Theory-Focused - Deep conceptual understanding with mental models and first principles
• Practical - Project-based learning with immediate application

Each mode provides a tailored coaching experience with mode-specific syllabi and exercises.

Development

Setup

# Clone the repository
git clone https://github.com/cheukyin175/learn-faster-kit.git
cd learn-faster-kit

# Install uv if needed
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install dependencies
uv sync

Use Cases

Learn FASTER is ideal for:

• Learning new programming languages (Go, Rust, Python, TypeScript, etc.)
• Preparing for technical certifications and exams
• Mastering frameworks and libraries (React, Next.js, Django, etc.)
• Building structured self-study programs
• Onboarding to new codebases or technologies

Requirements

• Python 3.12+
• Claude Code
• uv package manager

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

License

MIT License - See LICENSE file for details