GitHub Introduces Four Ways to Tailor Copilot to Your Codebase

GitHub’s latest Copilot app guide shows developers how to give the AI deeper project context. By adding a . github/copilot‑instructions. md file, teams can embed repository‑wide conventions such as architecture, naming, and testing expectations. For repeatable tasks, developers can create agent skills in . github/skills that bundle scripts and guidance—e. g. , a quality‑checks skill that tells Copilot which linting and test commands to run. Custom agents, stored in . github/agents, let teams craft specialized Copilot roles for complex, multi‑file work like accessibility reviews. Finally, the Model Context Protocol (MCP) servers connect Copilot to external tools; a Playwright MCP server, for example, lets Copilot launch the app in a browser and perform manual interactions. Together, these options reduce the need to repeatedly explain conventions, streamline common procedures, and extend Copilot’s capabilities beyond the repository.