AI Agent Skills

Feature construction from market data for ML trading models including price, volume, on-chain, and microstructure features

An open source python library for automated feature engineering

Feature engineering and selection open-source Python library compatible with sklearn.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Machine Learning Engineering Open Book

Harness engineering beginner tutorial, from 0 to 1

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

🛠️ Awesome tools & guides for harness engineering.

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLM…

The best place to learn data engineering. Built and maintained by the data engineering community.

Node feature discovery for Kubernetes

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging…

This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

The Open Source Feature Store for AI/ML