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13,196 skills indexed with the new KISS metadata standard.
This is a Python-based project called "Enhanced Network API Builder - Corporate Edition". It's designed to help developers build network APIs in corporate environments, with a special focus on handling challenges like SSL interception, proxy restrictions, and air-gapped deployments.
This directory contains the source files for the book "Agentic Design Patterns" by Antonio Gulli, along with a Portuguese translation and supplementary materials. The project's main goal is to provide a comprehensive guide to agentic AI design patterns, including theoretical explanations, practical
This document defines the EXACT patterns and architecture for implementing new API integrations in the Fync package. Follow these patterns precisely to ensure consistency and maintain the unified experience.
This file provides comprehensive context and instructions for the Gemini CLI agent when interacting with this project. It outlines general mandates, describes the project structure, details the Git workflow, explains local testing procedures, and points to task-specific memory files for deeper insig
this file provides guidance to gemini when working with code in this repository.
This project is a decentralized AI mesh agent system called **InfraFlow ZeroCloud**. It's designed with quantum-aware logic, real-time orchestration, and an offline-first architecture. The system integrates with both SambaNova and local Large Language Models (LLMs).
=== .ai/team-conventions rules ===
HTML/CSS/JavaScriptのみで構成されたシンプルなPongゲームです。
**xRat Ecosystem** is a Docker-based isolated development environment featuring a complete full-stack application with Node.js backend, React frontend, MongoDB database, and Redis cache.
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)