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pingqLIN
pingqLINCOMMUNITY
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agents

Create custom GitHub Copilot agent files with YAML frontmatter and tool configuration.

Updated Jan 23, 2026
Search Tags:#developer tools#workflow automation#prompt engineering#ai agents#orchestration#copilot
One-click install
npx skills add https://github.com/pingqLIN/skill-0 --skill agents-pingqlin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agents
Source: https://github.com/pingqLIN/skill-0/tree/main/converted-skills/agents
Command: npx skills add https://github.com/pingqLIN/skill-0 --skill agents-pingqlin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides comprehensive guidelines for creating custom agent files, enabling developers to build specialized AI agents for specific development tasks within GitHub Copilot.

Core Features & Use Cases

  • Agent Creation: Define custom agents with tailored expertise, tools, and instructions.
  • Workflow Orchestration: Design multi-step workflows using handoffs between agents.
  • Use Case: A team can create a "Testing Specialist" agent to automatically generate unit tests for new code, and then use handoffs to seamlessly transition to a "Code Reviewer" agent for quality assurance.

Quick Start

Create a new agent file named my-custom-agent.agent.md in the .github/agents/ directory with the specified YAML frontmatter and markdown instructions.

Frequently Asked Questions about agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create custom AI agents for specialized development tasks in GitHub Copilot?▼

To create custom AI agents for GitHub Copilot, you define an agent file with specific YAML frontmatter and markdown instructions. This file configures tailored expertise, available tools, and prompt structure to execute your specialized development workflows.

What is workflow orchestration using custom Copilot agents?▼

Workflow orchestration with custom Copilot agents is the process of designing multi-step workflows using handoffs. This allows specialized agents to seamlessly transition tasks to one another, such as passing code from a Testing Specialist to a Code Reviewer.

How do I configure tools and prompt structure for an AI agent file?▼

You configure tools and prompt structure for an AI agent file by defining the required parameters within the YAML frontmatter and markdown body. This setup dictates the agent's specialized expertise, operational boundaries, and interaction instructions.

Can I use sub-agent invocation to automate code review and testing workflows?▼

Yes, you can use sub-agent invocation to automate code review and testing workflows. You build a Testing Specialist agent to generate unit tests, then use handoffs to seamlessly transition the code to a Code Reviewer agent for quality assurance.

Where do I place custom agent files for GitHub Copilot to recognize them?▼

Custom agent files must be placed in the `.github/agents/` directory. GitHub Copilot recognizes agent files in this location, using the specified YAML frontmatter and markdown instructions to load your custom configurations.

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