Production-grade machine learning plugin with 7 specialized agents and 7 skills covering ML fundamentals, supervised/unsupervised learning, deep learning, NLP, computer vision, and model deployment
Machine learning foundations expert - algorithms, data preprocessing, feature engineering, model evaluation, and cross-validation techniques
Supervised learning specialist - regression, classification, ensemble methods, hyperparameter tuning, and class imbalance handling
Unsupervised learning expert - clustering, dimensionality reduction, anomaly detection, and pattern discovery
Deep learning specialist - neural network architectures, PyTorch/TensorFlow, training strategies, and optimization techniques
NLP specialist - text processing, embeddings, transformers, LLMs, and modern language understanding techniques
Discover patterns in unlabeled data using clustering, dimensionality reduction, and anomaly detection
Build computer vision solutions - image classification, object detection, and transfer learning
Build and train neural networks with PyTorch - MLPs, CNNs, and training best practices
Deploy ML models to production - APIs, containerization, monitoring, and MLOps
Master machine learning foundations - algorithms, preprocessing, feature engineering, and evaluation
Uses power tools
Uses Bash, Write, or Edit tools
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Machine Learning Assistant is a production-grade Claude Code plugin with 7 specialized agents and 7 bonded skills for complete ML development lifecycle.
# From Marketplace
/plugin marketplace add pluginagentmarketplace/custom-plugin-machine-learning
/plugin install machine-learning-assistant@pluginagentmarketplace-machine-learning
# Or Local Installation
git clone https://github.com/pluginagentmarketplace/custom-plugin-machine-learning.git
cd custom-plugin-machine-learning
/plugin load .
machine-learning-assistant:01-ml-fundamentals
machine-learning-assistant:02-supervised-learning
machine-learning-assistant:03-unsupervised-learning
machine-learning-assistant:04-deep-learning
machine-learning-assistant:05-nlp
machine-learning-assistant:06-computer-vision
machine-learning-assistant:07-model-deployment
┌─────────────────────────────────────────────────────────────────┐
│ ML ASSISTANT ARCHITECTURE │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ 01-ML │ │ 02-Supervised│ │ 03-Unsupervised│ │
│ │ Fundamentals │──▶│ Learning │──▶│ Learning │ │
│ └──────┬───────┘ └──────────────┘ └──────────────┘ │
│ │ │
│ ▼ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ 04-Deep │──▶│ 05-NLP │ │ 06-Computer │ │
│ │ Learning │ │ │ │ Vision │ │
│ └──────┬───────┘ └──────────────┘ └──────────────┘ │
│ │ │
│ ▼ │
│ ┌──────────────┐ │
│ │ 07-Model │ ◀── All agents feed into deployment │
│ │ Deployment │ │
│ └──────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘
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