A curated list of instructions, prompts, skills, and custom agent configurations designed to significantly enhance the GitHub Copilot AI experience for developers. It provides a structured method for injecting repository-specific context, team workflows, and specialized AI personas into Copilot, aiming for more accurate code suggestions and streamlined AI-assisted development.

How It Works

The project leverages markdown files (.instructions.md, .prompt.md, .agent.md) placed within a repository's .github/ directory or subdirectories. These files act as configuration layers, feeding Copilot contextual details such as coding standards, project frameworks, team workflows, and specific rules. Custom agents allow users to define distinct AI personas (e.g., architect, debugger) with tailored instructions and behaviors. Agent skills are modular, reusable components that agents can dynamically load to acquire new capabilities or domain expertise, facilitating complex, multi-step AI-driven development workflows.

Quick Start & Requirements

Setup involves configuring GitHub Copilot within VS Code and placing specific markdown files (.instructions.md, .prompt.md, .agent.md, SKILL.md) in designated directories (e.g., .github/instructions/, .github/agents/). Official documentation for Copilot Instructions and VS Code setup is referenced. No specific hardware, OS, or software version prerequisites beyond VS Code and the Copilot extension are detailed.

Highlighted Details

• Custom Agents & Handoffs: Enables defining specialized AI personas (e.g., Architect, Clean Code, Debugger, PRD Creation) and orchestrating workflows through agent handoffs, carrying context between specialized roles.
• Agent Skills: Provides a mechanism for creating portable, version-controlled skill modules (folders with SKILL.md) that agents can discover and load on demand, promoting reusability and extensibility.
• Extensive Language/Framework Support: Offers boilerplate and standard focus templates for numerous programming languages (C, C#, Go, Java, JS, Python, Rust, etc.) and popular tools/frameworks (Terraform, Atmos, Drupal, Express.js).
• AI Development Workflow: Includes structured prompts and agent configurations for AI-assisted tasks like PRD creation, task generation, and systematic task execution.

Maintenance & Community

The repository encourages contributions via a dedicated guide for sharing instruction files, prompts, skills, and custom agents. No specific community channels (e.g., Discord, Slack) or details on core maintainers or sponsorships are provided in the README.

Licensing & Compatibility

The README does not specify a software license. This omission requires clarification regarding usage rights, particularly for commercial applications or integration into closed-source projects.

Limitations & Caveats

The primary limitation is the absence of explicit licensing information, which poses a significant adoption risk. The README does not detail any known bugs, alpha status, or unsupported platforms.