copilot-agent-builder

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Generate custom GitHub Copilot agents (.agent.md files) for VS Code with proper YAML frontmatter, tools configuration, and handoff workflows. Use when "create copilot agent", "generate github copilot agent", "new copilot agent for", "make a copilot agent", or "build copilot agent".

⭐0stars🔀0forks📁View on GitHub🕐Updated Dec 31, 2025

When & Why to Use This Skill

The GitHub Copilot Agent Builder is a specialized Claude skill designed to automate the creation of custom AI agents for VS Code. It streamlines the generation of `.agent.md` files by ensuring proper YAML frontmatter, tool configurations (such as codebase search and GitHub integration), and complex handoff workflows, significantly enhancing developer productivity through tailored AI assistance.

Use Cases

  • Architectural Planning: Create specialized agents that analyze codebase structures and search documentation before handing off tasks to implementation agents.
  • Automated Workflow Design: Configure multi-step agent handoffs, such as a 'Reviewer' agent automatically passing feedback back to a 'Coder' agent for fixes.
  • Standardized Team Tooling: Generate consistent agent definitions within the `.github/agents` directory to ensure all team members use the same AI personas and toolsets.
  • Security and Quality Audits: Build dedicated agents with restricted tool access focused specifically on security scanning or unit test generation.
namecopilot-agent-builder
descriptionGenerate custom GitHub Copilot agents (.agent.md files) for VS Code with proper YAML frontmatter, tools configuration, and handoff workflows. Use when "create copilot agent", "generate github copilot agent", "new copilot agent for", "make a copilot agent", or "build copilot agent".
allowed-toolsRead, Write, Glob, Bash, AskUserQuestion

GitHub Copilot Agent Builder

Generate custom GitHub Copilot agents following VS Code's .agent.md format with proper YAML frontmatter and markdown instructions.

When to Activate

Trigger this skill when user says:

  • "create copilot agent"
  • "generate github copilot agent"
  • "new copilot agent for [purpose]"
  • "make a copilot agent"
  • "build copilot agent"
  • "copilot custom agent"

Agent Creation Process

Step 1: Gather Requirements

Ask user for agent configuration:

  1. Agent Purpose & Name:

    • What should the agent do? (e.g., "plan features", "review security", "write tests")
    • Suggested name: Extract from purpose (e.g., "planner", "security-reviewer", "test-writer")
  2. Tools Selection (multi-select):

    • fetch - Retrieve web content and documentation
    • search - Search codebase and files
    • githubRepo - Access GitHub repository data
    • usages - Find code references and usage patterns
    • files - File operations
    • Custom tools if available
  3. Handoff Workflows (optional):

    • Should this agent hand off to another? (e.g., planner → coder)
    • Handoff agent name
    • Handoff prompt text
    • Auto-send handoff? (yes/no)
  4. Additional Configuration (optional):

    • Specific model to use?
    • Argument hint for users?

Step 2: Validate Directory Structure

# Ensure .github/agents directory exists
mkdir -p .github/agents

Step 3: Generate Agent File

Create .github/agents/{agent-name}.agent.md with:

YAML Frontmatter Structure:

---
description: [Brief overview shown in chat input]
name: [Agent identifier, lowercase with hyphens]
tools: [Array of tool names]
handoffs:  # Optional
  - label: [Button text]
    agent: [Target agent name]
    prompt: [Handoff message]
    send: [true/false - auto-submit?]
model: [Optional - specific model name]
argument-hint: [Optional - user guidance text]
---

Markdown Body:

  • Clear role definition
  • Specific instructions
  • Tool usage guidance (reference as #tool:toolname)
  • Output format expectations
  • Constraints and guidelines

Step 4: Validate Format

Ensure generated file has:

  • ✓ Valid YAML frontmatter with --- delimiters
  • ✓ All required fields (description, name)
  • ✓ Tools array properly formatted
  • ✓ Handoffs array if specified (with label, agent, prompt, send)
  • ✓ Markdown instructions that are clear and actionable

Step 5: Confirm Creation

Show user:

✅ GitHub Copilot Agent Created

📁 Location: `.github/agents/{name}.agent.md`
🎯 Agent: {name}
📝 Description: {description}
🛠️  Tools: {tools list}

To use:
1. Reload VS Code window (Cmd/Ctrl + Shift + P → "Reload Window")
2. Open GitHub Copilot Chat
3. Type `@{name}` to invoke your custom agent

{If handoffs configured: "This agent can hand off to: {handoff targets}"}

Output Format

After creation, provide:

  1. File path confirmation
  2. Configuration summary (name, description, tools, handoffs)
  3. Usage instructions (how to reload and use)
  4. Next steps (testing suggestions)

Reference Documentation

  • Templates and structures → templates.md
  • Real-world examples → examples.md

Important Guidelines

  1. Naming Convention: Use lowercase with hyphens (e.g., feature-planner, security-reviewer)
  2. Description: Brief (1-2 sentences), shown in chat input UI
  3. Tools: Only include tools the agent actually needs
  4. Handoffs: Enable multi-step workflows (planning → implementation → testing)
  5. Instructions: Be specific about what the agent should and shouldn't do
  6. Tool References: Use #tool:toolname syntax in markdown body

Common Agent Patterns

Planning Agent:

  • Tools: fetch, search, githubRepo, usages
  • Handoff: To implementation agent
  • Focus: Analysis and planning, no code edits

Implementation Agent:

  • Tools: search, files, usages
  • Handoff: To testing agent
  • Focus: Write and modify code

Review Agent:

  • Tools: search, githubRepo, usages
  • Handoff: Back to implementation for fixes
  • Focus: Quality, security, performance checks

Testing Agent:

  • Tools: search, files
  • Handoff: Back to implementation or to review
  • Focus: Test creation and validation

Ready to build custom GitHub Copilot agents!