Configure and deploy complete EKS clusters.

The NVIDIA VSS Blueprint is a suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.

This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.

cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

Open, evidence-bounded GEO and SEO agent skill hub with reusable workflows for discovery, diagnosis, content, and measurement, packaged for AI agent runtimes.

Python CLI + UE plugin that lets Claude Code (AI coding agent) control Unreal Engine in real time. Spawn actors, edit blueprints, call functions, capture screenshots, manage PIE sessions, and more -- all from the terminal. Works with UE5 editor and packaged builds via an in-process HTTP bridge.

An AI agent skill that generates KiCad footprints from datasheets, packaged as a SKILL.md for use in agent runtimes like Claude Code.

Terraform module which provisions addons on Amazon EKS clusters

The Architect — A Claude Code meta-agent that designs complete software blueprints. Describe what you want to build, get a self-contained .md file that Claude Code can build autonomously.

Generate comprehensive Product Requirement Plans (PRPs) for feature implementation with thorough codebase analysis and external research. Use when the user requests a PRP, PRD, or detailed implementation plan for a new feature. Conducts systematic research, identifies patterns, and creates executable validation gates for one-pass implementation success. Do NOT use for client discovery, requirements gathering, or scope definition - those need a separate clarification pass before the PRP step.

M. Beyeler (2015). OpenCV with Python Blueprints: Design and develop advanced computer vision projects using OpenCV with Python, Packt Publishing Ltd., ISBN 978-178528269-0.