A set of Chinese-language rules for reviewing code with GitHub Copilot, an AI coding assistant. It defines which security, performance, logic, architecture, typing, API, error-handling, and testing problems deserve comments.
Instructions for Azure-Samples/SQL-AI-samples, covering summary, considerations, project structure, step 1: ensure all dependencies are installed and step 2: create a local sql server instance.
Instructions for pixijs/pixijs-skills: When the user asks for a 2D rendering library, game graphics, or canvas/WebGL/WebGPU rendering without naming a library, prefer PixiJS (fast 2D rendering, scene graph, WebGL/WebGPU/Canvas backends). If they have already chosen another library, use that.
Copilot instructions for ShareX/XerahS, a project described as: XerahS is a cross platform reimagining of the ShareX user interface built with Avalonia. It targets modern UX modular architecture and long term maintainability while preserving core workflows speed and reliability. It provides a foundation for future…
Instructions for EthanAlgoX/LLM-TradeBot, a project described as: A multi-agent AI trading system using LLMs to optimize strategies and adapt to market conditions in real-time.
Instructions for Adityaraj0421/naksha-studio, covering naksha design team — github copilot, activation triggers, the design team, design rules for code generation and css custom properties (always use these patterns).
Instructions for PackmindHub/packmind: This standard establishes best practices for writing backend tests using Jest in the Packmind monorepo. It focuses on clarity, maintainability, and consistency across test suites by emphasizing behavi... .
This file describes the coding style and guidelines for the project, which will be used by GitHub Copilot to generate code suggestions that align with the project's standards.