---

name: subagent-creator description: Guide for creating effective subagents (custom agents). Use when users want to create a new subagent that can be dispatched via Task tool for autonomous work. Covers frontmatter fields (name, description, tools, model, permissionMode, skills), prompt design, and when to use subagents vs skills.

Subagent Creator

Create effective subagents that handle autonomous tasks via the Task tool.

Subagents vs Skills

Aspect	Subagent	Skill
Invocation	Explicit via Task tool	Auto-triggered by context
Context	Isolated (fresh context window)	Shared with parent
Complexity	Single .md file	Folder with resources
Use case	Autonomous discrete tasks	Guidance and procedures
Nesting	Cannot spawn other subagents	Can reference other skills

Use subagent when:

• Task is discrete and autonomous
• Fresh context window is beneficial
• Task can run in parallel with other work
• Specialized tool restrictions needed

Use skill when:

• Guidance needed throughout conversation
• Context sharing is important
• Multiple resources (scripts, references) needed

Subagent Structure

agents/
└── agent-name.md
    ├── YAML frontmatter (metadata)
    └── Markdown body (system prompt)

Frontmatter Fields

Field	Required	Description
name	Yes	Lowercase, hyphens only (e.g., code-reviewer)
description	Yes	When to use - this triggers dispatch decisions
tools	No	Comma-separated: Bash, Glob, Grep, Read, Edit, Write
model	No	sonnet, opus, haiku, or inherit (default: inherit)
permissionMode	No	default, acceptEdits, bypassPermissions, plan
skills	No	Comma-separated skills to auto-load

Tools Reference

Read-only:     Glob, Grep, Read, WebFetch, WebSearch
Write:         Edit, Write, NotebookEdit
Execute:       Bash
All:           * (or omit field)

Permission Modes

Mode	Description
default	Normal permission prompts
acceptEdits	Auto-accept file edits
bypassPermissions	Skip all permission prompts
plan	Plan mode - explore but don't modify

Writing Effective Prompts

Structure

---
name: agent-name
description: When to use this agent. Be specific about triggers.
tools: Tool1, Tool2
model: sonnet
---

# Agent Name

One-line role description.

## Input Required
What the agent expects to receive.

## Process
Step-by-step what the agent does.

## Output Format
Exact format of the response.

## Rules
- Constraints and boundaries
- What to avoid

Best Practices

1. Be specific about role - First line defines identity
2. Define clear inputs - What must be provided
3. Structure the process - Numbered steps
4. Specify output format - Use code blocks for templates
5. Set boundaries - What NOT to do

Description Guidelines

The description field triggers when the agent is suggested. Include:

• Primary use case
• Required inputs
• Expected output type

# Good
description: Use after completing a task to review code changes. Provide BASE_SHA, HEAD_SHA, and requirements. Returns issues with file:line references.

# Bad
description: Reviews code.

Examples

Minimal Subagent

---
name: summarizer
description: Use to summarize long documents or conversations. Provide the content to summarize.
tools: Read
model: haiku
---

# Summarizer

Summarize the provided content in 3-5 bullet points.

Focus on: key decisions, action items, conclusions.
Skip: greetings, filler, obvious context.

Full Subagent

See references/subagent-examples.md for complete examples.

Creation Process

1. Define the task - What autonomous work does this agent do?
2. Choose tools - Minimum needed (prefer restrictive)
3. Choose model - haiku for simple, sonnet for complex, opus for critical
4. Write prompt - Role, process, output, rules
5. Test - Dispatch via Task tool, iterate

Init Script

scripts/init_subagent.py <agent-name> --path <output-directory>

Creates template agent file with proper structure.

Anti-Patterns

• Too broad - Agent tries to do everything
• Too many tools - Give minimum necessary
• Vague output - Always specify exact format
• No boundaries - Must define what NOT to do
• Wrong model - Don't use opus for simple tasks