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AI-powered learning coach with spaced repetition with Claude Code - master any knowledge faster with personalized syllabi and progress tracking
| Date | Stars |
|---|---|
| 2026-07-31 | 345 |
| 2026-08-03 | 346 |
| 2026-08-06 | 346 |
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# Learn FASTER
[](https://www.python.org/downloads/)
[](https://opensource.org/licenses/MIT)
[](https://github.com/astral-sh/uv)
> AI-powered learning coach that accelerates mastery through spaced repetition, personalized syllabi, and active practice.
**Built for [Claude Code](https://claude.com/claude-code)** - Integrates AI coaching directly into your development environment.
Also supports [Codex](https://developers.openai.com/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
- **F**orget: Beginner's mindset - approach topics with fresh perspective
- **A**ct: Learn by doing - hands-on practice over passive reading
- **S**tate: Optimize focus - create ideal learning conditions
- **T**each: Explain to retain - teaching reinforces understanding
- **E**nter: Consistent sessions - regular practice builds momentum
- **R**eview: Spaced repetition - review at intervals for long-term retention
## Installation
**Prerequisites:** [uv](https://docs.astral.sh/uv/) package manager
```bash
# 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:
```bash
uv tool install learn-faster --from git+https://github.com/cheukyin175/learn-faster-kit.git
```
Then in any project directory, simply run:
```bash
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:
```bash
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**
```bash
uv tool install learn-faster --from git+https://github.com/cheukyin175/learn-faster-kit.git
```
2. **Launch in anyExcerpt of 7,716 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:93173f5f7d35427b, llm:Description: 'AI-powered learning coach with spaced repetition with Claude Code - master any knowledge faster with personalized syllabi and progress tracking'; topics include 'claude-code', 'spaced-repetition', 'education', 'learning', 'productivity'.
matched fp:93173f5f7d35427b, llm:Description: 'AI-powered learning coach with spaced repetition with Claude Code - master any knowledge faster with personalized syllabi and progress tracking'; topics include 'claude-code', 'spaced-repetition', 'education', 'learning', 'productivity'.
matched fp:93173f5f7d35427b, llm:Description: 'AI-powered learning coach with spaced repetition with Claude Code - master any knowledge faster with personalized syllabi and progress tracking'; topics include 'claude-code', 'spaced-repetition', 'education', 'learning', 'productivity'.