Create Custom Agent
This skill helps you create VS Code custom agent files that define specialized AI personas for development tasks. Custom agents configure which tools are available, provide specialized instructions, and can chain together via handoffs.
When to Use
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Creating a new custom agent from scratch
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Scaffolding an .agent.md file with proper frontmatter
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Setting up agent-to-agent handoffs for multi-step workflows
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Configuring tool restrictions for specialized roles (planner, reviewer, etc.)
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Creating workspace-shared or user-profile agents
When Not to Use
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Creating instruction files (use .instructions.md instead)
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Creating reusable prompts (use .prompt.md instead)
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Modifying existing agents (edit the file directly)
Inputs
Input Required Description
Agent name Yes Descriptive name for the agent (e.g., planner , code-reviewer )
Description Yes Brief description shown as placeholder text in chat
Purpose/Persona Yes What role the agent plays and how it should behave
Tools Recommended List of tools or tool sets the agent can use
Handoffs Optional Next-step agents to transition to after completing work
Workflow
Step 1: Create the agent file
Create a file with .agent.md extension in the agents/ directory:
agents/<agent-name>.agent.md
Step 2: Add YAML frontmatter
Add the header with required and optional fields:
name: <agent-name> description: <brief description for chat placeholder> tools:
- <tool-name>
- <tool-set-name>
Available frontmatter fields:
Field Required Description
name
No Display name (defaults to filename)
description
Yes Placeholder text shown in chat input
argument-hint
No Hint text guiding user interaction
tools
No List of available tools/tool sets
agents
No List of allowed subagents (* for all, [] for none)
model
No AI model name or prioritized array of models
handoffs
No List of next-step agent transitions
user-invokable
No Show in agents dropdown (default: true)
disable-model-invocation
No Prevent subagent invocation (default: false)
target
No Target environment: vscode or github-copilot
mcp-servers
No MCP server configs for GitHub Copilot target
Step 3: Configure tools
Specify which tools the agent can use:
tools:
- search # Built-in tool
- fetch # Built-in tool
- codebase # Tool set
- myServer/* # All tools from MCP server
Common tool patterns:
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Read-only agents: ['search', 'fetch', 'codebase']
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Full editing agents: ['*'] or specific editing tools
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Specialized agents: Cherry-pick specific tools
Step 4: Add handoffs (optional)
Configure transitions to other agents:
handoffs:
- label: Start Implementation agent: implementation prompt: Implement the plan outlined above. send: false model: GPT-5.2 (copilot)
Handoff fields:
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label : Button text displayed to user
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agent : Target agent identifier
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prompt : Pre-filled prompt for target agent
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send : Auto-submit prompt (default: false)
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model : Optional model override for handoff
Step 5: Write agent instructions (body)
Add the agent's behavior instructions in Markdown:
You are a security-focused code reviewer. Your job is to:
- Analyze code for security vulnerabilities
- Check for common security anti-patterns
- Suggest secure alternatives
Guidelines
- Focus on OWASP Top 10 vulnerabilities
- Flag hardcoded secrets immediately
- Review authentication and authorization logic
Reference other files
See security guidelines for standards.
Tips for instructions:
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Use Markdown links to reference other files
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Reference tools with #tool:<tool-name> syntax
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Be specific about agent behavior and constraints
Step 6: Validate the agent
Verify the agent loads correctly:
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Open Command Palette (Ctrl+Shift+P)
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Run "Chat: New Custom Agent" or check agents dropdown
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Use "Diagnostics" view (right-click in Chat view) to check for errors
Template
name: <agent-name> description: <brief description for chat placeholder> argument-hint: <optional hint for user input> tools:
- <tool-1>
- <tool-2> handoffs:
- label: <button-text> agent: <target-agent> prompt: <pre-filled-prompt> send: false
<Agent Title>
<One paragraph describing the agent's persona and purpose.>
Role
<Describe the agent's specialized role and expertise.>
Guidelines
- <Guideline 1>
- <Guideline 2>
- <Guideline 3>
Workflow
- <Step 1>
- <Step 2>
- <Step 3>
Constraints
- <Constraint 1>
- <Constraint 2>
Example Agents
Planning Agent
name: planner description: Generate an implementation plan tools:
- search
- fetch
- codebase handoffs:
- label: Start Implementation agent: implementation prompt: Implement the plan above.
Planning Agent
You are a solution architect. Generate detailed implementation plans.
Guidelines
- Analyze requirements thoroughly before planning
- Break work into discrete, testable steps
- Identify dependencies and risks
- Do NOT make code changes
Code Review Agent
name: code-reviewer description: Review code for quality and security issues tools:
- search
- codebase
Code Review Agent
You are a senior engineer performing code review.
Focus Areas
- Security vulnerabilities
- Performance concerns
- Code maintainability
- Test coverage gaps
Output Format
Provide findings as:
- Critical: Must fix before merge
- Warning: Should address
- Suggestion: Nice to have
Validation Checklist
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File has .agent.md extension
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File is in agents/ directory
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YAML frontmatter is valid (proper indentation, no syntax errors)
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Description is non-empty and descriptive
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Tools list contains only available tools
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Handoff agent names match existing agents
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Instructions are clear and actionable
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Agent appears in agents dropdown
Common Pitfalls
Pitfall Solution
Agent not appearing in dropdown Check file is in agents/ directory with .agent.md extension
YAML syntax errors Validate frontmatter indentation and quoting
Tools not working Verify tool names exist; unavailable tools are ignored
Handoffs not showing Target agent must exist; check agent identifier
Instructions too vague Be specific about role, constraints, and workflow
Agent invoked as subagent unexpectedly Set disable-model-invocation: true
Want agent only as subagent Set user-invokable: false
References
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VS Code Custom Agents Documentation
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Tools in Chat
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Custom Instructions
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Prompt Files