A practical library of agents, instructions, and skills designed specifically for QA Automation Engineers, focusing on production-oriented solutions.
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Updated
Apr 19, 2026 - Java
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.
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.
Centralized AI IDE rules management for Cursor and GitHub Copilot.
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.
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.
Measure and optimize the token cost of your AI context to improve agent performance and reduce unnecessary input overhead.
💎 Global Standard for Vibe Coding Instructions. High-density Markdown context for AI Agents, Cursor & Windsurf. Stop hallucinations, start engineering.
An MCP (Model Context Protocol) server for scanning AI-related dotfiles and configuration files, and expose them to the agent tool.
Copilot instructions for many kind of project. Inspired by https://github.com/LightZirconite/copilot-rules
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.
AutoContext gives AI coding assistants the right context for your codebase.
Add a description, image, and links to the ai-instructions topic page so that developers can more easily learn about it.
To associate your repository with the ai-instructions topic, visit your repo's landing page and select "manage topics."