Subagents - Complete Reference Guide
Subagents are specialized AI assistants that Claude Code can delegate tasks to. Each subagent has a specific purpose, uses its own context window separate from the main conversation, and can be configured with specific tools and a custom system prompt.
Table of Contents
- Overview
- Key Benefits
- File Locations
- Configuration
- Built-in Subagents
- Managing Subagents
- Using Subagents
- Resumable Agents
- Chaining Subagents
- Persistent Memory for Subagents
- Background Subagents
- Worktree Isolation
- Restrict Spawnable Subagents
claude agentsCLI Command- Agent Teams (Experimental)
- Plugin Subagent Security
- Architecture
- Context Management
- When to Use Subagents
- Best Practices
- Example Subagents in This Folder
- Installation Instructions
- Related Concepts
Overview
Subagents enable delegated task execution in Claude Code by:
- Creating isolated AI assistants with separate context windows
- Providing customized system prompts for specialized expertise
- Enforcing tool access control to limit capabilities
- Preventing context pollution from complex tasks
- Enabling parallel execution of multiple specialized tasks
Each subagent operates independently with a clean slate, receiving only the specific context necessary for their task, then returning results to the main agent for synthesis.
Quick Start: Use the /agents command to create, view, edit, and manage your subagents interactively.
Key Benefits
| Benefit | Description |
|---|---|
| Context preservation | Operates in separate context, preventing pollution of main conversation |
| Specialized expertise | Fine-tuned for specific domains with higher success rates |
| Reusability | Use across different projects and share with teams |
| Flexible permissions | Different tool access levels for different subagent types |
| Scalability | Multiple agents work on different aspects simultaneously |
File Locations
Subagent files can be stored in multiple locations with different scopes:
| Priority | Type | Location | Scope |
|---|---|---|---|
| 1 (highest) | CLI-defined | Via --agents flag (JSON) | Session only |
| 2 | Project subagents | .claude/agents/ | Current project |
| 3 | User subagents | ~/.claude/agents/ | All projects |
| 4 (lowest) | Plugin agents | Plugin agents/ directory | Via plugins |
When duplicate names exist, higher-priority sources take precedence.
Configuration
File Format
Subagents are defined in YAML frontmatter followed by the system prompt in markdown:
---
name: your-sub-agent-name
description: Description of when this subagent should be invoked
tools: tool1, tool2, tool3 # Optional - inherits all tools if omitted
disallowedTools: tool4 # Optional - explicitly disallowed tools
model: sonnet # Optional - sonnet, opus, haiku, or inherit
permissionMode: default # Optional - permission mode
maxTurns: 20 # Optional - limit agentic turns
skills: skill1, skill2 # Optional - skills to preload into context
mcpServers: server1 # Optional - MCP servers to make available
memory: user # Optional - persistent memory scope (user, project, local)
background: false # Optional - run as background task
effort: high # Optional - reasoning effort (low, medium, high, max)
isolation: worktree # Optional - git worktree isolation
initialPrompt: "Start by analyzing the codebase" # Optional - auto-submitted first turn
hooks: # Optional - component-scoped hooks
PreToolUse:
- matcher: "Bash"
hooks:
- type: command
command: "./scripts/security-check.sh"
---
Your subagent's system prompt goes here. This can be multiple paragraphs
and should clearly define the subagent's role, capabilities, and approach
to solving problems.
Configuration Fields
| Field | Required | Description |
|---|---|---|
name | Yes | Unique identifier (lowercase letters and hyphens) |
description | Yes | Natural language description of purpose. Include "use PROACTIVELY" to encourage automatic invocation |
tools | No | Comma-separated list of specific tools. Omit to inherit all tools. Supports Agent(agent_name) syntax to restrict spawnable subagents |
disallowedTools | No | Comma-separated list of tools the subagent must not use |
model | No | Model to use: sonnet, opus, haiku, full model ID, or inherit. Defaults to configured subagent model |
permissionMode | No | default, acceptEdits, dontAsk, bypassPermissions, plan |
maxTurns | No | Maximum number of agentic turns the subagent can take |
skills | No | Comma-separated list of skills to preload. Injects full skill content into the subagent's context at startup |
mcpServers | No | MCP servers to make available to the subagent |
hooks | No | Component-scoped hooks (PreToolUse, PostToolUse, Stop) |
memory | No | Persistent memory directory scope: user, project, or local |
background | No | Set to true to always run this subagent as a background task |
effort | No | Reasoning effort level: low, medium, high, or max |
isolation | No | Set to worktree to give the subagent its own git worktree |
initialPrompt | No | Auto-submitted first turn when the subagent runs as the main agent |
Tool Configuration Options
Option 1: Inherit All Tools (omit the field)
---
name: full-access-agent
description: Agent with all available tools
---
Option 2: Specify Individual Tools
---
name: limited-agent
description: Agent with specific tools only
tools: Read, Grep, Glob, Bash
---
Option 3: Conditional Tool Access
---
name: conditional-agent
description: Agent with filtered tool access
tools: Read, Bash(npm:*), Bash(test:*)
---
CLI-Based Configuration
Define subagents for a single session using the --agents flag with JSON format:
claude --agents '{
"code-reviewer": {
"description": "Expert code reviewer. Use proactively after code changes.",
"prompt": "You are a senior code reviewer. Focus on code quality, security, and best practices.",
"tools": ["Read", "Grep", "Glob", "Bash"],
"model": "sonnet"
}
}'
JSON Format for --agents flag:
{
"agent-name": {
"description": "Required: when to invoke this agent",
"prompt": "Required: system prompt for the agent",
"tools": ["Optional", "array", "of", "tools"],
"model": "optional: sonnet|opus|haiku"
}
}
Priority of Agent Definitions:
Agent definitions are loaded with this priority order (first match wins):
- CLI-defined -
--agentsflag (session only, JSON) - Project-level -
.claude/agents/(current project) - User-level -
~/.claude/agents/(all projects) - Plugin-level - Plugin
agents/directory
This allows CLI definitions to override all other sources for a single session.
Built-in Subagents
Claude Code includes several built-in subagents that are always available:
| Agent | Model | Purpose |
|---|---|---|
| general-purpose | Inherits | Complex, multi-step tasks |
| Plan | Inherits | Research for plan mode |
| Explore | Haiku | Read-only codebase exploration (quick/medium/very thorough) |
| Bash | Inherits | Terminal commands in separate context |
| statusline-setup | Sonnet | Configure status line |
| Claude Code Guide | Haiku | Answer Claude Code feature questions |
General-Purpose Subagent
| Property | Value |
|---|---|
| Model | Inherits from parent |
| Tools | All tools |
| Purpose | Complex research tasks, multi-step operations, code modifications |
When used: Tasks requiring both exploration and modification with complex reasoning.
Plan Subagent
| Property | Value |
|---|---|
| Model | Inherits from parent |
| Tools | Read, Glob, Grep, Bash |
| Purpose | Used automatically in plan mode to research codebase |
When used: When Claude needs to understand the codebase before presenting a plan.
Explore Subagent
| Property | Value |
|---|---|
| Model | Haiku (fast, low-latency) |
| Mode | Strictly read-only |
| Tools | Glob, Grep, Read, Bash (read-only commands only) |
| Purpose | Fast codebase searching and analysis |
When used: When searching/understanding code without making changes.
Thoroughness Levels - Specify the depth of exploration:
- "quick" - Fast searches with minimal exploration, good for finding specific patterns
- "medium" - Moderate exploration, balanced speed and thoroughness, default approach
- "very thorough" - Comprehensive analysis across multiple locations and naming conventions, may take longer
Bash Subagent
| Property | Value |
|---|---|
| Model | Inherits from parent |
| Tools | Bash |
| Purpose | Execute terminal commands in a separate context window |
When used: When running shell commands that benefit from isolated context.
Statusline Setup Subagent
| Property | Value |
|---|---|
| Model | Sonnet |
| Tools | Read, Write, Bash |
| Purpose | Configure the Claude Code status line display |
When used: When setting up or customizing the status line.
Claude Code Guide Subagent
| Property | Value |
|---|---|
| Model | Haiku (fast, low-latency) |
| Tools | Read-only |
| Purpose | Answer questions about Claude Code features and usage |
When used: When users ask questions about how Claude Code works or how to use specific features.
Managing Subagents
Using the /agents Command (Recommended)
/agents
This provides an interactive menu to:
- View all available subagents (built-in, user, and project)
- Create new subagents with guided setup
- Edit existing custom subagents and tool access
- Delete custom subagents
- See which subagents are active when duplicates exist
Direct File Management
# Create a project subagent
mkdir -p .claude/agents
cat > .claude/agents/test-runner.md << 'EOF'
---
name: test-runner
description: Use proactively to run tests and fix failures
---
You are a test automation expert. When you see code changes, proactively
run the appropriate tests. If tests fail, analyze the failures and fix
them while preserving the original test intent.
EOF
# Create a user subagent (available in all projects)
mkdir -p ~/.claude/agents
Using Subagents
Automatic Delegation
Claude proactively delegates tasks based on:
- Task description in your request
- The
descriptionfield in subagent configurations - Current context and available tools
To encourage proactive use, include "use PROACTIVELY" or "MUST BE USED" in your description field:
---
name: code-reviewer
description: Expert code review specialist. Use PROACTIVELY after writing or modifying code.
---
Explicit Invocation
You can explicitly request a specific subagent:
> Use the test-runner subagent to fix failing tests
> Have the code-reviewer subagent look at my recent changes
> Ask the debugger subagent to investigate this error
@-Mention Invocation
Use the @ prefix to guarantee a specific subagent is invoked (bypasses automatic delegation heuristics):
> @"code-reviewer (agent)" review the auth module
Session-Wide Agent
Run an entire session using a specific agent as the main agent:
# Via CLI flag
claude --agent code-reviewer
# Via settings.json
{
"agent": "code-reviewer"
}
Listing Available Agents
Use the claude agents command to list all configured agents from all sources:
claude agents
Resumable Agents
Subagents can continue previous conversations with full context preserved:
# Initial invocation
> Use the code-analyzer agent to start reviewing the authentication module
# Returns agentId: "abc123"
# Resume the agent later
> Resume agent abc123 and now analyze the authorization logic as well
Use cases:
- Long-running research across multiple sessions
- Iterative refinement without losing context
- Multi-step workflows maintaining context
Chaining Subagents
Execute multiple subagents in sequence:
> First use the code-analyzer subagent to find performance issues,
then use the optimizer subagent to fix them
This enables complex workflows where the output of one subagent feeds into another.
Persistent Memory for Subagents
The memory field gives subagents a persistent directory that survives across conversations. This allows subagents to build up knowledge over time, storing notes, findings, and context that persist between sessions.
Memory Scopes
| Scope | Directory | Use Case |
|---|---|---|
user | ~/.claude/agent-memory/<name>/ | Personal notes and preferences across all projects |
project | .claude/agent-memory/<name>/ | Project-specific knowledge shared with the team |
local | .claude/agent-memory-local/<name>/ | Local project knowledge not committed to version control |
How It Works
- The first 200 lines of
MEMORY.mdin the memory directory are automatically loaded into the subagent's system prompt - The
Read,Write, andEdittools are automatically enabled for the subagent to manage its memory files - The subagent can create additional files in its memory directory as needed
Example Configuration
---
name: researcher
memory: user
---
You are a research assistant. Use your memory directory to store findings,
track progress across sessions, and build up knowledge over time.
Check your MEMORY.md file at the start of each session to recall previous context.
graph LR
A["Subagent<br />Session 1"] -->|writes| M["MEMORY.md<br />(persistent)"]
M -->|loads into| B["Subagent<br />Session 2"]
B -->|updates| M
M -->|loads into| C["Subagent<br />Session 3"]
style A fill:#e1f5fe,stroke:#333,color:#333
style B fill:#e1f5fe,stroke:#333,color:#333
style C fill:#e1f5fe,stroke:#333,color:#333
style M fill:#f3e5f5,stroke:#333,color:#333
Background Subagents
Subagents can run in the background, freeing up the main conversation for other tasks.
Configuration
Set background: true in the frontmatter to always run the subagent as a background task:
---
name: long-runner
background: true
description: Performs long-running analysis tasks in the background
---
Keyboard Shortcuts
| Shortcut | Action |
|---|---|
Ctrl+B | Background a currently running subagent task |
Ctrl+F | Kill all background agents (press twice to confirm) |
Disabling Background Tasks
Set the environment variable to disable background task support entirely:
export CLAUDE_CODE_DISABLE_BACKGROUND_TASKS=1
Worktree Isolation
The isolation: worktree setting gives a subagent its own git worktree, allowing it to make changes independently without affecting the main working tree.
Configuration
---
name: feature-builder
isolation: worktree
description: Implements features in an isolated git worktree
tools: Read, Write, Edit, Bash, Grep, Glob
---
How It Works
graph TB
Main["Main Working Tree"] -->|spawns| Sub["Subagent with<br />Isolated Worktree"]
Sub -->|makes changes in| WT["Separate Git<br />Worktree + Branch"]
WT -->|no changes| Clean["Auto-cleaned"]
WT -->|has changes| Return["Returns worktree<br />path and branch"]
style Main fill:#e1f5fe,stroke:#333,color:#333
style Sub fill:#f3e5f5,stroke:#333,color:#333
style WT fill:#e8f5e9,stroke:#333,color:#333
style Clean fill:#fff3e0,stroke:#333,color:#333
style Return fill:#fff3e0,stroke:#333,color:#333
- The subagent operates in its own git worktree on a separate branch
- If the subagent makes no changes, the worktree is automatically cleaned up
- If changes exist, the worktree path and branch name are returned to the main agent for review or merging
Restrict Spawnable Subagents
You can control which subagents a given subagent is allowed to spawn by using the Agent(agent_type) syntax in the tools field. This provides a way to allowlist specific subagents for delegation.
Note: In v2.1.63, the
Tasktool was renamed toAgent. ExistingTask(...)references still work as aliases.
Example
---
name: coordinator
description: Coordinates work between specialized agents
tools: Agent(worker, researcher), Read, Bash
---
You are a coordinator agent. You can delegate work to the "worker" and
"researcher" subagents only. Use Read and Bash for your own exploration.
In this example, the coordinator subagent can only spawn the worker and researcher subagents. It cannot spawn any other subagents, even if they are defined elsewhere.
claude agents CLI Command
The claude agents command lists all configured agents grouped by source (built-in, user-level, project-level):
claude agents
This command:
- Shows all available agents from all sources
- Groups agents by their source location
- Indicates overrides when an agent at a higher priority level shadows one at a lower level (e.g., a project-level agent with the same name as a user-level agent)
Agent Teams (Experimental)
Agent Teams coordinate multiple Claude Code instances working together on complex tasks. Unlike subagents (which are delegated subtasks returning results), teammates work independently with their own context and communicate directly through a shared mailbox system.
Note: Agent Teams is experimental and requires Claude Code v2.1.32+. Enable it before use.
Subagents vs Agent Teams
| Aspect | Subagents | Agent Teams |
|---|---|---|
| Delegation model | Parent delegates subtask, waits for result | Team lead assigns work, teammates execute independently |
| Context | Fresh context per subtask, results distilled back | Each teammate maintains its own persistent context |
| Coordination | Sequential or parallel, managed by parent | Shared task list with automatic dependency management |
| Communication | Return values only | Inter-agent messaging via mailbox |
| Session resumption | Supported | Not supported with in-process teammates |
| Best for | Focused, well-defined subtasks | Large multi-file projects requiring parallel work |
Enabling Agent Teams
Set the environment variable or add it to your settings.json:
export CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1
Or in settings.json:
{
"env": {
"CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"
}
}
Starting a team
Once enabled, ask Claude to work with teammates in your prompt:
User: Build the authentication module. Use a team — one teammate for the API endpoints,
one for the database schema, and one for the test suite.
Claude will create the team, assign tasks, and coordinate the work automatically.
Display modes
Control how teammate activity is displayed:
| Mode | Flag | Description |
|---|---|---|
| Auto | --teammate-mode auto | Automatically chooses the best display mode for your terminal |
| In-process | --teammate-mode in-process | Shows teammate output inline in the current terminal (default) |
| Split-panes | --teammate-mode tmux | Opens each teammate in a separate tmux or iTerm2 pane |
claude --teammate-mode tmux
You can also set the display mode in settings.json:
{
"teammateMode": "tmux"
}
Note: Split-pane mode requires tmux or iTerm2. It is not available in VS Code terminal, Windows Terminal, or Ghostty.
Navigation
Use Shift+Down to navigate between teammates in split-pane mode.
Team Configuration
Team configurations are stored at ~/.claude/teams/{team-name}/config.json.
Architecture
graph TB
Lead["Team Lead<br />(Coordinator)"]
TaskList["Shared Task List<br />(Dependencies)"]
Mailbox["Mailbox<br />(Messages)"]
T1["Teammate 1<br />(Own Context)"]
T2["Teammate 2<br />(Own Context)"]
T3["Teammate 3<br />(Own Context)"]
Lead -->|assigns tasks| TaskList
Lead -->|sends messages| Mailbox
TaskList -->|picks up work| T1
TaskList -->|picks up work| T2
TaskList -->|picks up work| T3
T1 -->|reads/writes| Mailbox
T2 -->|reads/writes| Mailbox
T3 -->|reads/writes| Mailbox
T1 -->|updates status| TaskList
T2 -->|updates status| TaskList
T3 -->|updates status| TaskList
style Lead fill:#e1f5fe,stroke:#333,color:#333
style TaskList fill:#fff9c4,stroke:#333,color:#333
style Mailbox fill:#f3e5f5,stroke:#333,color:#333
style T1 fill:#e8f5e9,stroke:#333,color:#333
style T2 fill:#e8f5e9,stroke:#333,color:#333
style T3 fill:#e8f5e9,stroke:#333,color:#333
Key components:
- Team Lead: The main Claude Code session that creates the team, assigns tasks, and coordinates
- Shared Task List: A synchronized list of tasks with automatic dependency tracking
- Mailbox: An inter-agent messaging system for teammates to communicate status and coordinate
- Teammates: Independent Claude Code instances, each with their own context window
Task assignment and messaging
The team lead breaks work into tasks and assigns them to teammates. The shared task list handles:
- Automatic dependency management — tasks wait for their dependencies to complete
- Status tracking — teammates update task status as they work
- Inter-agent messaging — teammates send messages via the mailbox for coordination (e.g., "Database schema is ready, you can start writing queries")
Plan approval workflow
For complex tasks, the team lead creates an execution plan before teammates begin work. The user reviews and approves the plan, ensuring the team's approach aligns with expectations before any code changes are made.
Hook events for teams
Agent Teams introduce two additional hook events:
| Event | Fires When | Use Case |
|---|---|---|
TeammateIdle | A teammate finishes its current task and has no pending work | Trigger notifications, assign follow-up tasks |
TaskCompleted | A task in the shared task list is marked complete | Run validation, update dashboards, chain dependent work |
Best practices
- Team size: Keep teams at 3-5 teammates for optimal coordination
- Task sizing: Break work into tasks that take 5-15 minutes each — small enough to parallelize, large enough to be meaningful
- Avoid file conflicts: Assign different files or directories to different teammates to prevent merge conflicts
- Start simple: Use in-process mode for your first team; switch to split-panes once comfortable
- Clear task descriptions: Provide specific, actionable task descriptions so teammates can work independently
Limitations
- Experimental: Feature behavior may change in future releases
- No session resumption: In-process teammates cannot be resumed after a session ends
- One team per session: Cannot create nested teams or multiple teams in a single session
- Fixed leadership: The team lead role cannot be transferred to a teammate
- Split-pane restrictions: tmux/iTerm2 required; not available in VS Code terminal, Windows Terminal, or Ghostty
- No cross-session teams: Teammates exist only within the current session
Warning: Agent Teams is experimental. Test with non-critical work first and monitor teammate coordination for unexpected behavior.
Plugin Subagent Security
Plugin-provided subagents have restricted frontmatter capabilities for security. The following fields are not allowed in plugin subagent definitions:
hooks- Cannot define lifecycle hooksmcpServers- Cannot configure MCP serverspermissionMode- Cannot override permission settings
This prevents plugins from escalating privileges or executing arbitrary commands through subagent hooks.
Architecture
High-Level Architecture
graph TB
User["User"]
Main["Main Agent<br />(Coordinator)"]
Reviewer["Code Reviewer<br />Subagent"]
Tester["Test Engineer<br />Subagent"]
Docs["Documentation<br />Subagent"]
User -->|asks| Main
Main -->|delegates| Reviewer
Main -->|delegates| Tester
Main -->|delegates| Docs
Reviewer -->|returns result| Main
Tester -->|returns result| Main
Docs -->|returns result| Main
Main -->|synthesizes| User
Subagent Lifecycle
sequenceDiagram
participant User
participant MainAgent as Main Agent
participant CodeReviewer as Code Reviewer<br />Subagent
participant Context as Separate<br />Context Window
User->>MainAgent: "Build new auth feature"
MainAgent->>MainAgent: Analyze task
MainAgent->>CodeReviewer: "Review this code"
CodeReviewer->>Context: Initialize clean context
Context->>CodeReviewer: Load reviewer instructions
CodeReviewer->>CodeReviewer: Perform review
CodeReviewer-->>MainAgent: Return findings
MainAgent->>MainAgent: Incorporate results
MainAgent-->>User: Provide synthesis
Context Management
graph TB
A["Main Agent Context<br />50,000 tokens"]
B["Subagent 1 Context<br />20,000 tokens"]
C["Subagent 2 Context<br />20,000 tokens"]
D["Subagent 3 Context<br />20,000 tokens"]
A -->|Clean slate| B
A -->|Clean slate| C
A -->|Clean slate| D
B -->|Results only| A
C -->|Results only| A
D -->|Results only| A
style A fill:#e1f5fe
style B fill:#fff9c4
style C fill:#fff9c4
style D fill:#fff9c4
Key Points
- Each subagent gets a fresh context window without the main conversation history
- Only the relevant context is passed to the subagent for their specific task
- Results are distilled back to the main agent
- This prevents context token exhaustion on long projects
Performance Considerations
- Context efficiency - Agents preserve main context, enabling longer sessions
- Latency - Subagents start with clean slate and may add latency gathering initial context
Key Behaviors
- No nested spawning - Subagents cannot spawn other subagents
- Background permissions - Background subagents auto-deny any permissions that are not pre-approved
- Backgrounding - Press
Ctrl+Bto background a currently running task - Transcripts - Subagent transcripts are stored at
~/.claude/projects/{project}/{sessionId}/subagents/agent-{agentId}.jsonl - Auto-compaction - Subagent context auto-compacts at ~95% capacity (override with
CLAUDE_AUTOCOMPACT_PCT_OVERRIDEenvironment variable)
When to Use Subagents
| Scenario | Use Subagent | Why |
|---|---|---|
| Complex feature with many steps | Yes | Separate concerns, prevent context pollution |
| Quick code review | No | Unnecessary overhead |
| Parallel task execution | Yes | Each subagent has own context |
| Specialized expertise needed | Yes | Custom system prompts |
| Long-running analysis | Yes | Prevents main context exhaustion |
| Single task | No | Adds latency unnecessarily |
Best Practices
Design Principles
Do:
- Start with Claude-generated agents - Generate initial subagent with Claude, then iterate to customize
- Design focused subagents - Single, clear responsibilities rather than one doing everything
- Write detailed prompts - Include specific instructions, examples, and constraints
- Limit tool access - Grant only necessary tools for the subagent's purpose
- Version control - Check project subagents into version control for team collaboration
Don't:
- Create overlapping subagents with same roles
- Give subagents unnecessary tool access
- Use subagents for simple, single-step tasks
- Mix concerns in one subagent's prompt
- Forget to pass necessary context
System Prompt Best Practices
-
Be Specific About Role
You are an expert code reviewer specializing in [specific areas] -
Define Priorities Clearly
Review priorities (in order): 1. Security Issues 2. Performance Problems 3. Code Quality -
Specify Output Format
For each issue provide: Severity, Category, Location, Description, Fix, Impact -
Include Action Steps
When invoked: 1. Run git diff to see recent changes 2. Focus on modified files 3. Begin review immediately
Tool Access Strategy
- Start Restrictive: Begin with only essential tools
- Expand Only When Needed: Add tools as requirements demand
- Read-Only When Possible: Use Read/Grep for analysis agents
- Sandboxed Execution: Limit Bash commands to specific patterns
Example Subagents in This Folder
This folder contains ready-to-use example subagents:
1. Code Reviewer (code-reviewer.md)
Purpose: Comprehensive code quality and maintainability analysis
Tools: Read, Grep, Glob, Bash
Specialization:
- Security vulnerability detection
- Performance optimization identification
- Code maintainability assessment
- Test coverage analysis
Use When: You need automated code reviews with focus on quality and security
2. Test Engineer (test-engineer.md)
Purpose: Test strategy, coverage analysis, and automated testing
Tools: Read, Write, Bash, Grep
Specialization:
- Unit test creation
- Integration test design
- Edge case identification
- Coverage analysis (>80% target)
Use When: You need comprehensive test suite creation or coverage analysis
3. Documentation Writer (documentation-writer.md)
Purpose: Technical documentation, API docs, and user guides
Tools: Read, Write, Grep
Specialization:
- API endpoint documentation
- User guide creation
- Architecture documentation
- Code comment improvement
Use When: You need to create or update project documentation
4. Secure Reviewer (secure-reviewer.md)
Purpose: Security-focused code review with minimal permissions
Tools: Read, Grep
Specialization:
- Security vulnerability detection
- Authentication/authorization issues
- Data exposure risks
- Injection attack identification
Use When: You need security audits without modification capabilities
5. Implementation Agent (implementation-agent.md)
Purpose: Full implementation capabilities for feature development
Tools: Read, Write, Edit, Bash, Grep, Glob
Specialization:
- Feature implementation
- Code generation
- Build and test execution
- Codebase modification
Use When: You need a subagent to implement features end-to-end
6. Debugger (debugger.md)
Purpose: Debugging specialist for errors, test failures, and unexpected behavior
Tools: Read, Edit, Bash, Grep, Glob
Specialization:
- Root cause analysis
- Error investigation
- Test failure resolution
- Minimal fix implementation
Use When: You encounter bugs, errors, or unexpected behavior
7. Data Scientist (data-scientist.md)
Purpose: Data analysis expert for SQL queries and data insights
Tools: Bash, Read, Write
Specialization:
- SQL query optimization
- BigQuery operations
- Data analysis and visualization
- Statistical insights
Use When: You need data analysis, SQL queries, or BigQuery operations
Installation Instructions
Method 1: Using /agents Command (Recommended)
/agents
Then:
- Select 'Create New Agent'
- Choose project-level or user-level
- Describe your subagent in detail
- Select tools to grant access (or leave blank to inherit all)
- Save and use
Method 2: Copy to Project
Copy the agent files to your project's .claude/agents/ directory:
# Navigate to your project
cd /path/to/your/project
# Create agents directory if it doesn't exist
mkdir -p .claude/agents
# Copy all agent files from this folder
cp /path/to/04-subagents/*.md .claude/agents/
# Remove the README (not needed in .claude/agents)
rm .claude/agents/README.md
Method 3: Copy to User Directory
For agents available in all your projects:
# Create user agents directory
mkdir -p ~/.claude/agents
# Copy agents
cp /path/to/04-subagents/code-reviewer.md ~/.claude/agents/
cp /path/to/04-subagents/debugger.md ~/.claude/agents/
# ... copy others as needed
Verification
After installation, verify the agents are recognized:
/agents
You should see your installed agents listed alongside the built-in ones.
File Structure
project/
├── .claude/
│ └── agents/
│ ├── code-reviewer.md
│ ├── test-engineer.md
│ ├── documentation-writer.md
│ ├── secure-reviewer.md
│ ├── implementation-agent.md
│ ├── debugger.md
│ └── data-scientist.md
└── ...
Related Concepts
Related Features
- Slash Commands - Quick user-invoked shortcuts
- Memory - Persistent cross-session context
- Skills - Reusable autonomous capabilities
- MCP Protocol - Real-time external data access
- Hooks - Event-driven shell command automation
- Plugins - Bundled extension packages
Comparison with Other Features
| Feature | User-Invoked | Auto-Invoked | Persistent | External Access | Isolated Context |
|---|---|---|---|---|---|
| Slash Commands | Yes | No | No | No | No |
| Subagents | Yes | Yes | No | No | Yes |
| Memory | Auto | Auto | Yes | No | No |
| MCP | Auto | Yes | No | Yes | No |
| Skills | Yes | Yes | No | No | No |
Integration Pattern
graph TD
User["User Request"] --> Main["Main Agent"]
Main -->|Uses| Memory["Memory<br />(Context)"]
Main -->|Queries| MCP["MCP<br />(Live Data)"]
Main -->|Invokes| Skills["Skills<br />(Auto Tools)"]
Main -->|Delegates| Subagents["Subagents<br />(Specialists)"]
Subagents -->|Use| Memory
Subagents -->|Query| MCP
Subagents -->|Isolated| Context["Clean Context<br />Window"]
Additional Resources
- Official Subagents Documentation
- CLI Reference -
--agentsflag and other CLI options - Plugins Guide - For bundling agents with other features
- Skills Guide - For auto-invoked capabilities
- Memory Guide - For persistent context
- Hooks Guide - For event-driven automation
Last updated: March 2026
This guide covers complete subagent configuration, delegation patterns, and best practices for Claude Code.
