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14,295 skills indexed with the new KISS metadata standard.
This project is a Python-based "AI Debate Club" application with a graphical user interface built using `customtkinter`. The application facilitates a debate between two AI agents, a "PRO" and a "CON" debater, on a given topic. After the debate, a third AI agent, the "Judge," determines the winner.
This project is a modern web application for a cake and bakeshop, built using a React starter template. The initial setup provides a robust foundation for developing a rich, interactive user experience.
This document describes the automated agents, bots, and external services that interact with this repository.
This document serves as a comprehensive guide for setting up, building, and deploying embedded firmware for the ESP32 microcontroller using the official **Espressif IoT Development Framework (ESP-IDF)**.
This is a Next.js 15 application demonstrating Trimble's Modus Web Components design system integration with modern React patterns. It features React 19, TypeScript support, comprehensive component examples, and strict design system compliance enforced by automated linting.
**Framework:** Svelte + Tailwind CSS
This is a robust and high-performance e-commerce platform for buying and selling clothes online. The application is built using a hexagonal architecture, allowing for greater flexibility and scalability.
Mission: Build a custom RAG system to stream intelligence to Even Realities G2 Smart Glasses. We are hacking a "Shadow OS" on top of their hardware.
- It is a list item 1
Simon is a local-first infrastructure tool designed to govern AI agent execution. It acts as a runtime layer that enforces clarity, discipline, and resource limits (tokens, iterations) to make AI coding tools more predictable and cost-effective.
Model-Lens is a Next.js application designed to provide insights and management capabilities for various AI models. It features a frontend built with React/Next.js, a backend with API routes, and uses Drizzle ORM for database interactions. The project includes services for interacting with external
- **Layout and Components:** When creating new pages or components, follow the existing patterns. Use the `MainLayout` component from `App.tsx` and avoid wrapping content in `IonPage` unless necessary for specific Ionic functionalities.
This project, "Rust Expert | AI LLM," is dedicated to creating a highly specialized Large Language Model (LLM) with expertise in the Rust programming language. The primary goal is to develop a model that can answer questions, provide feedback, and generate high-quality, efficient, and idiomatic Rust
BEFORE doing ANYTHING else, when you see ANY task management scenario:
**Architecture**: Modular Monolith with Hexagonal Architecture (Ports & Adapters)
LinkEveryWord 是一個強大的跨平台檔案搜尋生態系統，提供閃電般快速的檔案發現和無縫的文字到檔案連結功能。本專案採用現代網頁技術構建，在桌面和瀏覽器環境中提供即時搜尋能力。
This document outlines the key components and functionality of the `firefly-parser-bot` project.
**HelloAnime** is a web application designed to explore and discover anime. It utilizes the [Jikan API](https://jikan.moe/) (Unofficial MyAnimeList API) to fetch and display data such as top-rated anime, currently airing shows, and search results.
This project is a Dart package named `base32_codec`. It provides a flexible and efficient way to encode and decode Base32 data, following the conventions of `dart:convert`. The package is written in pure Dart and has no platform-specific dependencies.
This document provides specific instructions and context for Gemini when working within this project.
**NeuPAN** (Neural Proximal Alternating-minimization Network) is a Python-based robotic motion planning framework. It implements an **end-to-end**, **real-time**, and **map-free** navigation algorithm based on Model Predictive Control (MPC).
This is the source code for the "DPSG Wehr" website, built with **Next.js 16** (App Router). The site is designed to be **completely statically generated** (`output: "export"`) and deployed to a static host.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Source is located in `/src` folder. Read that folder as it contains a lot of comments which explain many concepts