GitHub Copilot for Beginners: Teaching the App Your Codebase Conventions
A GitHub Blog beginner tutorial explains how to give the GitHub Copilot app context about a project's own conventions and workflows. It describes four customization paths: custom instructions in .github/copilot-instructions.md plus path-specific files under .github/instructions that use an applyTo field; Agent Skills stored as folders such as .github/skills/quality-checks containing a SKILL.md and optional scripts; custom agents under .github/agents that define purpose, instructions, tools and project context for larger multi-file tasks; and MCP servers that connect Copilot to outside tools and data, for instance a Playwright server that lets it open and interact with an app in a browser. The post suggests starting with one convention you keep re-explaining and points to the community Awesome Copilot collection for ready-made instructions, skills and agents to adapt.
For everyday Copilot users, encoding project conventions in the repository cuts down repeated explanations and corrections, and signals that context configuration is becoming standard practice for AI coding tools.
Context matters when you’re working with AI. Every codebase has its own house rules: how components are structured, which scripts to run, and which conventions apply to different frameworks and file types.
Copilot can help you make changes across a project, but it works best when it knows those rules, too. Much of that knowledge can live inside the repository, so Copilot can pick it up automatically instead of requiring you to explain the same standards, scripts, and workflows every time you start a new task.
In this installment of our GitHub Copilot app for Beginners series, we’ll look at four ways to tailor how Copilot works with your project:
- Custom instructions communicate the conventions Copilot should follow.
- Agent skills package repeatable procedures.
- Custom agents bring specialized guidance to larger tasks.
- Model Context Protocol (MCP) servers connect Copilot to external tools and data sources, expanding what it can do.
Let’s look at how each one works and how they can work together.
#GitHub#GitHub Copilot#Model Context Protocol#Playwright#Awesome Copilot