Agent Development

To build autonomous agents for Copilot CLI plugins, you create markdown-based agent files with YAML frontmatter and a complete system prompt defining the agent's responsibilities, process steps, and output formats.

An agent file's system prompt architecture should include a second-person perspective, clear responsibilities, defined process steps, and explicit output formats to ensure reliable, repeatable agent behavior across tasks.

Frontmatter fields for Copilot CLI agent files are configured using YAML syntax to define attributes like description, model, and tools, with validation guided by AGENTS.md project conventions.

Yes, you can implement proactive and reactive triggering patterns with Copilot CLI agents by defining triggering examples within the system prompt to control when the autonomous agent initiates tasks.

Yes, Copilot CLI agent development requires integration with AGENTS.md to apply project conventions, validate frontmatter fields, and ensure consistent agent behavior across the deployment workflow.

The best way to validate autonomous agent behavior before deployment is to use validation tooling that checks the agent file's frontmatter fields and system prompt architecture against the patterns defined in AGENTS.md.