A practical library of agents, instructions, and skills designed specifically for QA Automation Engineers, focusing on production-oriented solutions.

Template for AI-maintained documentation that gives agents an always up-to-date project context.

Centralized AI IDE rules management for Cursor and GitHub Copilot.

AI Context Kit provides a structured, instruction-based framework for context-aware AI collaboration across LLM providers. It includes authoritative specs, canonical templates, and skills workflows for creating and validating user context and project AGENTS.md files.

Community-driven GitHub Copilot settings and coding guidelines. Share, improve, and evolve best practices for AI-assisted coding in Visual Studio Code. Contribute by suggesting new rules or refining existing ones via pull requests.

Enhance your AI-assisted development in Copilot or Cursor with this advanced system prompt. 🤖✨ It provides a detailed playbook that transforms your AI into a methodical 'Minion', ensuring more systematic execution and higher quality software engineering.

An MCP (Model Context Protocol) server for scanning AI-related dotfiles and configuration files, and expose them to the agent tool.

Curated AI prompts guiding models to act as expert professionals across software, business, politics, and more.

Browse, preview, and equip AI instruction content from Git repositories — for Cursor, GitHub Copilot, and Claude.

Copilot instructions for many kind of project. Inspired by https://github.com/LightZirconite/copilot-rules