learn-faster-kit

🥈Silver

AI-powered learning coach with spaced repetition using Claude Code. Creates personalized syllabi and tracks progress to help users master knowledge faster. Benefits operations teams by accelerating skill acquisition and improving productivity.

264100Updated 2w ago

Intermediate30min to implementautomation

Saves ~105 min per use

Quick InstallView Source

git clone https://github.com/hluaguo/learn-faster-kit.git

Works with:

Claude

Overview

About This Skill

How to Use

1. **Initialize the Learning Plan:** Copy the prompt template and replace all [PLACEHOLDERS] with your specific topic, role, and available resources. Paste into Claude Code with the command: `/learn-faster-kit init [TOPIC] [ROLE] [INDUSTRY]` 2. **Take the Diagnostic Quiz:** Complete the initial assessment when prompted. Answer honestly—this determines your starting point and customization level. Tip: Use real examples from your work to make the quiz more relevant. 3. **Follow the Daily Structure:** Each day's lesson includes: a) Core concept (10-15 min read/watch), b) Practical exercise (apply immediately), c) Spaced repetition review (automatically scheduled). Tip: Set a daily calendar reminder for your 15-minute learning window. 4. **Track Progress Systematically:** After each exercise, update the progress tracker in the provided template. Tip: Use the `/learn-faster-kit progress` command weekly to generate a visual dashboard of your mastery. 5. **Adjust and Optimize:** Every 7 days, review your progress metrics. Use the `/learn-faster-kit optimize` command to: a) Increase focus on weak areas, b) Adjust exercise difficulty, c) Add new resources. Tip: Share your dashboard with a mentor for external accountability.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/hluaguo/learn-faster-kit

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I need to master [TOPIC] for my role as a [ROLE] in [INDUSTRY]. Create a personalized 30-day learning plan using spaced repetition techniques. Include: 1) Key concepts broken into daily micro-lessons (10-15 minutes each), 2) Daily review questions with increasing intervals, 3) Practical exercises for each concept, 4) Progress tracking metrics. Start with a diagnostic quiz to assess my baseline knowledge of [TOPIC]. Adjust the difficulty based on my responses. Use [LEARNING_RESOURCES] as primary materials. Begin with today's lesson immediately. Format the output as a markdown syllabus with clickable sections for each day's content.

Example Output

### **30-Day Mastery Plan: Advanced Supply Chain Analytics for Operations Managers**

**Diagnostic Quiz Results:** You scored 62% on supply chain analytics fundamentals, with strongest areas in demand forecasting (80%) and weakest in inventory optimization (45%). This plan targets your gaps with 20% more focus on inventory systems.

---

#### **Week 1: Foundations & Data Literacy**
**Day 1:** Introduction to Supply Chain Metrics
- *Core Concept:* Learn the difference between service level, fill rate, and lead time
- *Exercise:* Calculate these metrics using the provided dataset (500 orders from Q2 2023)
- *Review:* Spaced repetition question in 2 days
- *Resource:* ["Supply Chain Metrics That Matter" by Lora Cecere, Ch. 1-2]

**Day 2:** SQL Basics for Operations Data
- *Core Concept:* Write queries to extract order fulfillment data
- *Exercise:* Find top 5 suppliers by late delivery rate
- *Review:* Flashcard set due in 1 day (shorter interval for new topic)
- *Resource:* [SQLZoo Practice Set A-C]

**Day 3:** Excel Power Query for Data Cleaning
- *Core Concept:* Transform messy inventory data into standardized format
- *Exercise:* Clean 2,000-row Excel file with inconsistent product codes
- *Review:* Problem set due in 4 days

---

#### **Week 2: Advanced Analytics Techniques**
**Day 8:** Safety Stock Calculations
- *Core Concept:* Formula: SS = Z * σ * √(L) where Z=service level factor
- *Exercise:* Calculate safety stock for 95% service level with given demand variability
- *Review:* Problem set due in 7 days (longer interval for complex topic)

**Day 10:** ABC Analysis Implementation
- *Core Concept:* Classify inventory items by value (A=70%, B=20%, C=10%)
- *Exercise:* Run ABC analysis on your company's 15,000 SKUs
- *Progress Tracker:* Update "Inventory Optimization" dashboard with findings

---

#### **Week 4: Applied Mastery**
**Day 25:** Capstone Project - Demand Forecasting Model
- *Objective:* Build a 12-month forecast using exponential smoothing
- *Deliverables:* 
  1. Jupyter notebook with cleaned data
  2. Model accuracy report (MAPE < 15%)
  3. Presentation to stakeholders
- *Review:* Final knowledge check in 14 days

**Progress Metrics:**
- Concept retention: 87% (based on review responses)
- Practical application: 3 completed exercises
- Knowledge gaps: 2 remaining (reorder point calculations)

**Next Steps:** 
1. Schedule weekly 30-minute check-ins with your AI coach
2. Export your progress to Notion using the provided template
3. Share your capstone project with [MENTOR_NAME] by Day 28

*Tip: Use the "/review" command daily to reinforce learning. The system will automatically adjust intervals based on your response accuracy.*