From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI

· Source: The GitHub Blog · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy · Depth: Intermediate, long

Summary

The GitHub Copilot CLI now supports custom agents, introduced on June 9, 2026, enabling developers to transform one-off terminal prompts into repeatable, reviewable workflows. These agents are defined via Markdown files, called agent profiles, which reside in a repository's ".github/agents" directory. This allows teams to encode their specific stack, tools, and operational standards, ensuring consistent behavior across development tasks. Agent profiles specify the agent's role, accessible tools, and guardrails, supporting version control and sharing. The article illustrates practical applications, including agents for security audits, Infrastructure-as-Code compliance, release documentation, and incident response. While off-the-shelf agents offer quick starts, custom agents provide tailored integration with unique team conventions and internal tooling, enhancing workflow continuity from CLI to IDE and GitHub.

Key takeaway

For DevOps Engineers aiming to standardize and automate complex terminal-based workflows, custom agents in GitHub Copilot CLI offer a powerful solution. You should define agent profiles in Markdown within your repositories to encode team-specific tools, standards, and guardrails. This approach ensures consistent execution of tasks like security audits or IaC compliance, reducing manual errors and improving reviewability across your development lifecycle. Start by converting a frequently repeated task into a custom agent.

Key insights

Custom agents in GitHub Copilot CLI standardize development workflows by encoding team-specific context into reusable, version-controlled automation.

Principles

Method

To create a custom agent: invoke Copilot CLI with "/agent", then create a Markdown agent profile in ".github/agents/" defining its role, tools, and guardrails.

In practice

Topics

Code references

Best for: Software Engineer, AI Engineer, DevOps Engineer

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by The GitHub Blog.