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

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

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Developers work across many surfaces like the CLI, IDE, and GitHub. The terminal is often where they turn to move fast, automate tasks, or work directly with systems and scripts. Tools like the GitHub Copilot CLI already make this easier. You can generate commands, debug issues, and move quicker without leaving the terminal. However, like any environment, the CLI can still accumulate friction: re-running the same commands, re-explaining context, or translating logs for your team into something they can act on.

These small steps add up, especially when every team’s stack and standards are a little different. But what if your terminal didn’t just run commands, it understood your stack, your tools, and your team’s standards? That’s where custom agents come in. Instead of starting from scratch each time, you can encode your team’s context into reusable workflows that go beyond one-off prompts.

With custom agents in the CLI, you can turn repeated tasks and patterns into consistent, reviewable workflows that fit naturally alongside your other tools, further tailoring GitHub Copilot CLI with expertise for specific development tasks. What are custom agents? A

Source: GitHub Blog

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1) If money or security is involved, wait for primary sources. 2) Test changes on a small scale before committing. 3) Note what would falsify your current assumptions.

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Last updated: June 16, 2026.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.