Sub Agents

Subagents

Overview

Subagents are specialized AI assistants that Claude Code can delegate tasks to. Each operates with its own context window, custom system prompt, and configurable tool access.

Key Features

Context Management: Each subagent operates in its own context, preventing pollution of the main conversation

Specialization: Task-specific configurations enable higher success rates on designated work

Reusability: Once created, subagents work across different projects and teams

Flexible Permissions: Individual tool access control per subagent

Quick Start

1. Run /agents command
2. Select "Create New Agent"
3. Choose project-level or user-level scope
4. Define purpose, select tools, customize system prompt
5. Save and invoke automatically or explicitly

Configuration

File Locations

• Project subagents: .claude/agents/
• User subagents: ~/.claude/agents/
• Project-level takes precedence over user-level

File Format

Markdown with YAML frontmatter containing:

• name: Unique identifier
• description: Purpose and invocation guidance
• tools: Optional comma-separated list
• model: Optional model alias (sonnet/opus/haiku) or 'inherit'

Example Structure

---
name: code-reviewer
description: Expert code review specialist. Use proactively after code changes.
tools: Read, Grep, Glob, Bash
model: inherit
---

Your system prompt explaining the subagent's role and approach...

Available Tools

When configuring subagents, you can grant access to these tools via the tools field in frontmatter:

Tools That Require Permission

Bash - Executes shell commands in your environment

• Use for: Running tests, git commands, build scripts
• Example: Bash

Edit - Makes targeted edits to specific files

• Use for: Code modifications, refactoring
• Example: Edit

NotebookEdit - Modifies Jupyter notebook cells

• Use for: Data science workflows, notebook updates
• Example: NotebookEdit

SlashCommand - Runs a custom slash command

• Use for: Invoking user-defined commands
• Example: SlashCommand

WebFetch - Fetches content from a specified URL

• Use for: Documentation lookup, API calls
• Example: WebFetch

WebSearch - Performs web searches with domain filtering

• Use for: Finding current information, research
• Example: WebSearch

Write - Creates or overwrites files

• Use for: Generating new files, reports
• Example: Write

Tools That Don't Require Permission

Glob - Finds files based on pattern matching

• Use for: Finding files by name pattern
• Example: Glob

Grep - Searches for patterns in file contents

• Use for: Code search, pattern matching
• Example: Grep

NotebookRead - Reads and displays Jupyter notebook contents

• Use for: Analyzing notebooks
• Example: NotebookRead

Read - Reads the contents of files

• Use for: Code review, analysis
• Example: Read

Task - Runs a sub-agent to handle complex, multi-step tasks

• Use for: Delegating to other specialized agents
• Example: Task

TodoWrite - Creates and manages structured task lists

• Use for: Planning and tracking work
• Example: TodoWrite

Configuring Tool Access

Grant all tools:

tools: Bash, Edit, Read, Write, Glob, Grep, WebFetch, WebSearch

Grant minimal tools (read-only):

tools: Read, Glob, Grep

Grant specific tools for specialized tasks:

tools: Read, Bash, TodoWrite  # For a test runner agent

Omit tools field to inherit from parent:

# No tools field - uses same tools as main Claude instance

Usage Patterns

Automatic Delegation: Claude recognizes matching tasks and invokes appropriate subagents

Explicit Invocation: Request specific subagents via natural language commands like "Use the debugger subagent to investigate this error"

Example Subagents

Code Reviewer

Reviews code for quality, security, and maintainability. Provides feedback categorized by priority (critical/warnings/suggestions).

Debugger

Specializes in root cause analysis. Captures error messages, isolates failures, and implements minimal fixes.

Data Scientist

Handles SQL queries and data analysis. Writes optimized queries and provides data-driven recommendations.

Best Practices

• Generate initial subagents with Claude, then customize
• Design focused subagents with single responsibilities
• Write detailed system prompts with specific instructions
• Limit tool access to necessary functions only
• Version control project-level subagents

Advanced Usage

Chaining: Combine multiple subagents for complex workflows

Dynamic Selection: Claude intelligently chooses subagents based on task context and description fields

Performance: Subagents preserve main context but may add latency during initial context gathering

CLI Configuration

Define subagents dynamically with --agents flag accepting JSON objects for session-specific or automation-based configurations.