learn-faster-kit

作者 hluaguo已验证

AI-powered learning coach with spaced repetition with Claude Code - master any knowledge faster with personalized syllabi and progress tracking

357
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37
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Python
语言
2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/hluaguo/learn-faster-kit

快速入门

使用 learn-faster-kit 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Learn FASTER

Python Version License: MIT uv

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. Codex also only exposes its structured user-input tool in Plan mode, so in Default mode it cannot present guided choice prompts the same way Claude Code can.

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. Codex guided-choice interactions are also limited: the user-input tool is available only in Plan mode, so Default mode falls back to plain conversational questions.

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 resume [<id>] [--pick] [--fork] - Resume a previous coaching session (--pick to choose interactively; --fork to branch into a new session id)
  • 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

Contributing

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

License

MIT License - See LICENSE file for details

常见问题

What is learn-faster-kit?

learn-faster-kit is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by hluaguo. AI-powered learning coach with spaced repetition with Claude Code - master any knowledge faster with personalized syllabi and progress tracking. It has 357 GitHub stars.

Is learn-faster-kit safe to use?

Yes. learn-faster-kit passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install learn-faster-kit?

Clone the repository with "git clone https://github.com/hluaguo/learn-faster-kit" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is learn-faster-kit written in?

learn-faster-kit is primarily written in Python. It is open-source under hluaguo on GitHub, so you can review or fork the full source.

Are there alternatives to learn-faster-kit?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh learn-faster-kit against similar tools.

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