How does it use Polars?

It leverages Polars for high-performance data buffering and rolling feature calculations within its streaming monitoring patterns.

Does it support real-time data processing?

Yes, it provides specific architectures for streaming anomaly detection and real-time transaction pre-screening using efficient data buffers.

Is this skill suitable for complex ensemble models?

Yes, the fraud detection pattern specifically addresses how to implement daily batch ensembles and hybrid risk scoring.

What specific ML patterns are included in this skill?

The skill includes specialized patterns for IoT Monitoring, Fraud Detection, and Document Intelligence, covering everything from data ingestion to classification.

Can I use this for RAG applications?

Absolutely. The Document Intelligence pattern is designed to handle the full pipeline from OCR and NER to RAG indexing and querying.

ML Use Case Patterns

Name: ML Use Case Patterns
Author: llama-farm

byllama-farm

0•

Data Science & ML

Implements production-ready machine learning pipelines for IoT monitoring, fraud detection, and document intelligence using LlamaFarm patterns.

The ML Use Cases skill provides Claude with a library of sophisticated reference implementations for complex data science workflows. By utilizing LlamaFarm features, it enables the rapid generation of end-to-end pipelines, ranging from real-time IoT sensor monitoring with Polars-based rolling features to hybrid fraud detection systems and document intelligence architectures. This skill is essential for developers who need to move beyond simple model scripts into scalable, multi-stage ML systems that include OCR, NER, and RAG integration.

Key Features

010 GitHub stars

02Comprehensive document intelligence pipelines (OCR to RAG)

03End-to-end IoT monitoring with Polars buffer integration

04Streaming anomaly detection and real-time feature engineering

05Multi-stage fraud detection architectures with hybrid scoring

06Pre-configured patterns for ensemble-based batch analysis

Use Cases

01Building a financial risk scoring engine that combines streaming and batch data

02Developing a real-time sensor alert system with automated anomaly detection

03Creating an automated pipeline to extract and index data from unstructured documents

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add llama-farm/claude-code-marketplace ml-use-cases

For use in Claude.ai and ChatGPT

Download Skill