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

A curated collection of reusable agent skills for designers and builders to generate UI prompts and workflows using AI coding agents.

Kavita is a fast, feature rich, cross platform reading server. Built with the goal of being a full solution for all your reading needs. Setup your own server and share your reading collection with your friends and family.

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.

Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever.

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).

Nelm is a Helm 4 alternative. It is a Kubernetes deployment tool that manages Helm Charts and deploys them to Kubernetes. The Nelm goal is to provide a modern alternative to Helm, with long-standing issues fixed and many new major features introduced.

This repo contains a sample application based on a Garage Management System for Pitstop - a fictitious garage. The primary goal of this sample is to demonstrate several software-architecture concepts like: Microservices, CQRS, Event Sourcing, Domain Driven Design (DDD), Eventual Consistency.

AI Agent Skill for Prompting Video Models

Turn project work into reusable knowledge — an AI-agent skill for Claude Code & Codex

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

A collection of agent skills that inject team-specific context into coding agents at session start, improving collaboration and adherence to conventions.