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Top 60 Claude Skills, Workflows & GitHub Repos for AI 🚀

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200 Claude Prompts 🔥

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Here’s your roadmap to learning Gen AI 👇

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Want to get into AI/ML in 2026? 🤖

📂 AI/ML Roadmap (From Beginner to Job Ready)
┃
┣ 📂 Foundations (Math + Basics)
┃ ┣ 📂 Python Programming
┃ ┣ 📂 Linear Algebra (Vectors, Matrices)
┃ ┣ 📂 Probability & Statistics
┃ ┣ 📂 Calculus Basics
┃ ┗ 📂 Data Handling (NumPy, Pandas)
┃
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┃ ┣ 📂 Supervised Learning(Regression,Classific
┃ ┣ 📂 Unsupervised Learning (Clustering)
┃ ┣ 📂 Model Evaluation (Accuracy, Precision, Recall)
┃ ┣ 📂 Feature Engineering
┃ ┗ 📂 Scikit-learn
┃
┣ 📂 Data & Visualization
┃ ┣ 📂 Data Cleaning
┃ ┣ 📂 EDA (Exploratory Data Analysis)
┃ ┣ 📂 Visualization (Matplotlib, Seaborn)
┃ ┗ 📂 Real-world Datasets
┃
┣ 📂 Deep Learning
┃ ┣ 📂 Neural Networks Basics
┃ ┣ 📂 CNN (Images)
┃ ┣ 📂 RNN / LSTM (Sequence Data)
┃ ┣ 📂 Transformers Basics
┃ ┗ 📂 Frameworks (TensorFlow / PyTorch)
┃
┣ 📂 Specialization Paths
┃ ┣ 📂 NLP (Chatbots, LLMs)
┃ ┣ 📂 Computer Vision
┃ ┣ 📂 Recommendation Systems
┃ ┗ 📂 Time Series Forecasting
┃
┣ 📂 MLOps & Deployment
┃ ┣ 📂 Model Deployment (Flask / FastAPI)
┃ ┣ 📂 Docker Basics
┃ ┣ 📂 APIs for Models
┃ ┣ 📂 Monitoring Models
┃ ┗ 📂 Cloud (AWS/GCP/Azure)
┃
┣ 📂 Projects & Portfolio
┃ ┣ 📂 3–5 Real ML Projects
┃ ┣ 📂 End-to-End Pipeline
┃ ┣ 📂 Kaggle Competitions
┃ ┣ 📂 GitHub + Documentation
┃ ┗ 📂 Portfolio Website
┃
┣ 📂 Interview Preparation
┃ ┣ 📂 ML Concepts
┃ ┣ 📂 Case Studies
┃ ┣ 📂 Coding + DSA Basics
┃ ┗ 📂 System Design (ML Systems)
┃
┣ 📂 Career Growth
┃ ┣ 📂 Research Papers (ArXiv)
┃ ┣ 📂 Open Source (Hugging Face)
┃ ┣ 📂 Build in Public (X / LinkedIn)
┃ ┗ 📂 Apply for AI Roles

Follow this for 12 months consistently

Most people just run models
Top engineers understand why they work

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Claude prompts that stop Claude from agreeing with you when you’re wrong 🦍

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Claude prompts to optimize your GitHub profile 🚀

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