new-agent

---

name: new-agent description: Create custom Claude Code subagents. Interactive wizard that gathers requirements, generates the agent .md file with proper frontmatter and system prompt. Use when creating a new agent, adding a subagent, or making a custom agent available globally. Keywords: agent, subagent, create agent, new agent, custom agent disable-model-invocation: true argument-hint: "[agent-description or leave blank for interactive]"

New Agent Creator

Creates custom Claude Code subagents as .md files with YAML frontmatter and a system prompt.

Agent Storage Locations

Location	Scope	When to use
.claude/agents/	Current project	Team-shared, checked into version control
~/.claude/agents/	All projects	Personal agents across your machine

Before creating an agent, list existing agents in the target directory to avoid name conflicts.

Agent File Format

---
name: agent-name
description: When Claude should use this agent. Include 2-3 <example> blocks.
color: green
model: inherit
memory: user
---

System prompt content here — this becomes the agent's entire personality and instructions.

Frontmatter Fields

Field	Required	Default	Description
name	Yes	—	Lowercase, hyphens only. Must be unique across all agents.
description	Yes	—	Critical for delegation. Must include <example> blocks.
tools	No	All tools	Comma-separated allowlist: Read, Grep, Glob, Bash, Write, Edit etc.
disallowedTools	No	—	Tools to explicitly deny (removed from inherited set).
model	No	inherit	One of: sonnet, opus, haiku, inherit.
color	No	—	UI color: green, cyan, bright_red, yellow, blue, magenta, etc.
permissionMode	No	default	default, acceptEdits, dontAsk, bypassPermissions, plan.
maxTurns	No	—	Maximum agentic turns before stopping.
memory	No	—	Persistent memory scope: user, project, or local.
skills	No	—	Skills to preload into the agent's context.
mcpServers	No	—	MCP servers available to this agent.
hooks	No	—	Lifecycle hooks scoped to this agent.

Instructions

Step 1: Gather Requirements

If $ARGUMENTS is provided, use it as the agent concept. Otherwise, ask the user:

1. What domain does this agent specialize in? (e.g., "database optimization", "accessibility auditing", "Rust development")
2. What should it do when invoked? (e.g., "review queries for performance", "audit HTML for WCAG compliance")
3. Should it be read-only or able to modify files?
4. What model should it use? (inherit for most, haiku for fast/cheap tasks, sonnet for balanced, opus for complex reasoning)
5. Should it have persistent memory across sessions? (recommended for agents that learn patterns over time)
6. Where should it live? (.claude/agents/ for project-level, ~/.claude/agents/ for user-level)

Step 2: Choose the Name

Rules:

• Lowercase letters, numbers, hyphens only
• Descriptive of the role, not the task (e.g., accessibility-auditor not check-accessibility)
• Check for conflicts with existing agents in the target directory
• Keep it short but unambiguous

Step 3: Craft the Description

The description is critical — Claude uses it to decide when to delegate tasks to this agent.

Required structure:

Use this agent when [trigger scenarios]. This agent excels at [capabilities]. Examples:\n\n<example>\nContext: [situation]\nuser: "[what the user says]"\nassistant: "[how Claude delegates]"\n<commentary>\n[Why this agent is the right choice]\n</commentary>\n</example>

Include 2-3 <example> blocks showing realistic delegation scenarios. These are essential — Claude relies on them for pattern matching.

Best practices:

• Start with "Use this agent when..."
• List specific trigger scenarios, not vague domains
• Include keywords users might say naturally
• Add "Use proactively" if the agent should auto-trigger (e.g., after code changes)

Step 4: Write the System Prompt

The markdown body after the frontmatter becomes the agent's system prompt. It receives only this prompt (plus basic environment details), not the full Claude Code system prompt.

Structure:

1. Opening persona (1-2 sentences): Who the agent is and what it values
2. Core Mindset / Principles (bulleted): The mental model that drives decisions
3. Detailed Methodology: Domain-specific checklists, frameworks, or processes
4. Output Format: How findings/results should be structured
5. Communication Style: Tone and presentation guidelines
6. Memory Guidelines (if memory enabled): What to record across sessions

Quality bar:

• Be specific and actionable, not vague
• Include domain-specific frameworks relevant to the specialty
• Define output structure so results are consistent
• Include anti-patterns (what NOT to do)
• Keep it under 150 lines — agents with bloated prompts lose focus

Step 5: Select Tool Access

Common patterns:

Agent Type	Tools	Rationale
Read-only reviewer	Read, Grep, Glob, Bash	Can explore and run read-only commands
Code modifier	All tools (default)	Full access to make changes
Research-only	Read, Grep, Glob, WebSearch, WebFetch	Can search code and web, no execution
Restricted executor	Bash + hooks	Bash with PreToolUse hook to validate commands

If the agent should have all tools (the common case), omit the tools field entirely.

Step 6: Create the Agent File

Write the agent .md file to the target directory chosen in Step 1.

Step 7: Verify and Report

After creating the file:

1. Show the file — display the full content
2. Confirm no name conflicts — check against existing agents in the target directory
3. Show example invocations — 2-3 ways to trigger the agent
4. Remind about loading — new agents are loaded at session start; restart the session or use /agents to load immediately
5. Suggest testing — try a request that matches the description to verify delegation

Example Agent (Reference)

A well-structured agent:

---
name: accessibility-auditor
description: Use this agent when you need to evaluate UI code for accessibility compliance, WCAG conformance, or inclusive design. Excels at identifying missing ARIA attributes, keyboard navigation issues, color contrast problems, and screen reader compatibility.\n\n<example>\nContext: The user just built a new form component.\nuser: "Can you check if this form is accessible?"\nassistant: "I'll use the accessibility-auditor agent to evaluate your form for WCAG compliance."\n<commentary>\nForm accessibility involves labels, error announcements, focus management — specialized knowledge the accessibility-auditor provides.\n</commentary>\n</example>
color: yellow
memory: user
---

You are an accessibility specialist who ensures digital interfaces work for everyone.

## Core Mindset

- **Inclusive by default**: Every user deserves equal access to functionality
- **Programmatic first**: If assistive tech can't parse it, it's broken
- **Progressive enhancement**: Start accessible, layer on interactivity

## Methodology

When auditing code:
1. Check semantic HTML structure (headings, landmarks, roles)
2. Verify all interactive elements are keyboard-accessible
3. Confirm ARIA attributes are correct and complete
4. Evaluate color contrast ratios (WCAG AA minimum)
5. Test focus management for dynamic content

## Output Format

Organize findings by impact:

### Critical (blocks access entirely)
### Major (degrades experience significantly)
### Minor (improvement opportunities)

For each finding: **what** is wrong, **where** (file:line), **why** it matters, **fix** with code example.



 Be specific — cite WCAG success criteria by number (e.g., 1.4.3 Contrast)
 Provide before/after code examples for every finding
 Acknowledge what's already done well

Anti-Patterns

• Don't create agents for one-off tasks — use skills or the main conversation instead
• Don't create agents with vague descriptions — "helps with code" will never trigger
• Don't duplicate existing agents — check the target directory first
• Don't give write access to pure analysis agents — principle of least privilege
• Don't skip the <example> blocks — they're the primary delegation signal
• Don't make the system prompt too long — over 150 lines dilutes focus