copilot-customization

The primary difference is their scope and structure: instructions define global coding standards, prompts create reusable task templates, agents encapsulate specific workflows with defined tools, and skills provide specialized interactive capabilities. Comparing these mechanisms helps you choose the right file type for your workflow.

To create a custom Copilot agent, you need to create a `.agent.md` file with the correct frontmatter schema, define required fields, and specify its tools and behavior. The file structure determines how the agent operates within your development environment.

Copilot customization loading issues typically stem from incorrect frontmatter schema, misplaced files, or syntax errors. Debugging involves validating the frontmatter structure, checking file locations, and understanding progressive loading interactions between different customization types.

Copilot prompt files require specific frontmatter fields defined by the schema to function correctly. You can reference the file schema documentation to quickly find the correct frontmatter structure needed for creating new `.prompt.md` files for reusable tasks.

Use Copilot instructions when you need to enforce global coding standards and behavioral guidelines, whereas custom agents are better suited for encapsulating specific team workflows with dedicated tools. Choosing the right mechanism depends on whether your goal is broad guidance or scoped automation.

Yes, MCP servers, hooks, and plugins can interact with Copilot skills as part of the broader customization ecosystem. Understanding the interaction between these different customization types is essential for building complex, layered Copilot behaviors.