Creating and using custom agents for GitHub Copilot 命令行界面

Introduction

自定义智能体 allow you to tailor Copilot's expertise for specific tasks.

When you prompt Copilot to carry out a task it may choose to use one of your 自定义代理, if Copilot determines that the agent's expertise is a good fit for the task.

Work performed by a 自定义智能体 is carried out using a subagent, which is a temporary agent spun up to complete the task. The subagent has its own context window, which can be populated by information that is not relevant to the main agent. In this way, especially for larger tasks, parts of the work can be offloaded to 自定义代理, without cluttering the main agent's context window. The main agent can then focus on higher-level planning and coordination.

For more information, see 关于自定义代理.

Creating a 自定义智能体

Each 自定义智能体 is defined by a Markdown file with an .agent.md extension. You can create these files yourself, or you can add them from within the CLI, as described in the following steps.

1. In interactive mode, enter /agent.

2. Select Create new agent from the list of options.

3. Choose between the options to create the 自定义智能体 in the repository or in your home directory:

   • Project (.github/agents/)

   • User (~/.config/copilot/agents/)

   注意

   If you have 自定义代理 with the same name in both locations, the one in your home directory will be used, rather than the one in the repository.

4. Choose whether to get Copilot to create the 自定义智能体 file, or create it yourself.

   Option 1: Use Copilot

   Enter details of the agent you want to create. Describe the agent's expertise and when the agent should be used. Copilot will take the description you enter and use it to write an agent profile for you.

   For example, you could enter:

   I am a security expert. I check code files thoroughly for potential security issues. Use me whenever a security review/check/audit is requested for one or more code files, or when the word "seccheck" is used in a prompt in reference to code files.
   
   I will identify potential problems, such as code that:
   
   - Exposes secrets or credentials
   - Allows cross-site scripting
   - Allows SQL injection
   - Contains vulnerable dependencies
   - Allows authentication to be bypassed
   
   If any problems are identified, create a single GitHub issue in this repository on GitHub.com with details of problems, giving full details of each issue, including, but not limited to, risk level and recommended fix.
   

   After Copilot finishes generating the initial agent profile it displays the following options:

   • Continue
   • Review content
   • Try again
   • Quit

   If you choose to review the content, the agent file is opened in your default editor. You can review and make changes, if required, before continuing the agent creation process in the CLI.

   To complete the creation process, choose Continue.

   Option 2: Create the agent profile manually

   When you choose to create the agent file yourself, you'll be guided through a series of prompts to fill in the necessary information to create the agent profile.

   1. Enter a name for the agent. The name you enter is the name that's displayed when you list the available agents. A version of this will be used as the name of the agent file—for example, if you enter "Security expert", the agent file will be named security-expert.agent.md.

      提示

      For ease of use when using a 自定义智能体 programmatically, it's recommended that you choose a name consisting only of lowercase letters and hyphens.

   2. Enter a description that states what expertise this agent has and when it should be used.

   3. Enter instructions for how the agent should behave, including any specific guidelines, actions it should take or constraints it should follow.

5. Choose which tools your 自定义智能体 should have access to.

   By default, 自定义代理 have access to all tools. If you restrict an agent's access, a tools specification is added to the agent file.

6. Restart the CLI to load your new 自定义智能体.

Using a 自定义智能体

自定义智能体 can be used in the following ways:

• Slash command

  Enter /agent in interactive mode and choose from the list of available 自定义代理. Then enter a prompt that will be passed to the selected agent.

  注意

  The CLI's default agents are not included in this list. For more information about the default agents, see 使用 GitHub Copilot CLI.

• Explicit instruction

  Tell Copilot to use a specific agent. For example:

  Use the security-auditor agent on all files in the /src/app directory
  

• By inference

  Use a prompt that will trigger the use of a particular agent based on the description in the agent file. For example:

  Check all TypeScript files in or under the src directory for potential security problems
  

  or (where "seccheck" is defined as a trigger word in the agent profile):

  seccheck /src/app/validator.go
  

  Copilot will automatically infer the agent you want to use.

• Programmatically

  Specify the 自定义智能体 you want to use with the command-line option. For example:

  copilot --agent security-auditor --prompt "Check /src/app/validator.go"
  

  Where security-auditor is the file name of the 自定义智能体 profile, without the .agent.md extension. Typically, but not necessarily, this is the same as the name value in the agent profile.

Further reading

• Comparing GitHub Copilot CLI customization features
• 自定义代理配置
• 自定义智能体—a curated collection of examples