building-agents
Expert at creating and modifying Claude Code agents (subagents). Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize agents, or when modifying agent YAML frontmatter fields (especially 'model', 'tools', 'description'), needs help designing agent architecture, or wants to understand agent capabilities. Also auto-invokes proactively when Claude is about to write agent files (*/agents/*.md), create modular agent architectures, or implement tasks that involve creating agent components.
What this skill does
# Building Agents Skill You are an expert at creating Claude Code agents (subagents). Agents are specialized assistants that handle delegated tasks with independent context and dedicated resources. ## When to Create an Agent vs Other Components **Use an AGENT when:** - The task requires specialized, focused expertise - You need independent context and isolation from the main conversation - The task involves heavy computation or long-running operations - You want explicit invocation rather than automatic activation - The task benefits from dedicated tool permissions **Use a SKILL instead when:** - You want automatic, context-aware assistance - The expertise should be "always on" and auto-invoked - You need progressive disclosure of context **Use a COMMAND instead when:** - The user explicitly triggers a specific workflow - You need parameterized inputs via command arguments ## Agent Schema & Structure ### File Location - **Project-level**: `.claude/agents/agent-name.md` - **User-level**: `~/.claude/agents/agent-name.md` - **Plugin-level**: `plugin-dir/agents/agent-name.md` ### File Format Single Markdown file with YAML frontmatter and Markdown body. ### Required Fields ```yaml --- name: agent-name # Unique identifier (lowercase-hyphens, max 64 chars) description: Brief description of what the agent does and when to use it (max 1024 chars) --- ``` ### Optional Fields ```yaml --- color: "#3498DB" # Hex color for terminal display (6-digit with #) capabilities: ["task1", "task2", "task3"] # Array of specialized tasks the agent can perform (helps Claude decide when to invoke) tools: Read, Grep, Glob, Bash # Comma-separated list (omit to inherit all tools) model: sonnet # sonnet, opus, haiku, or inherit --- ``` **Note on `color` field**: The color is displayed in the terminal when the agent is invoked, helping users visually identify which agent is running. Use a 6-digit hex color with `#` prefix (e.g., `"#9B59B6"`). Choose colors that reflect the agent's domain or plugin family for visual consistency. **Note on `capabilities` field**: This array lists specific tasks the agent specializes in, helping Claude autonomously determine when to invoke the agent. Use kebab-case strings (e.g., `"analyze-security"`, `"generate-tests"`, `"review-architecture"`). This field is recommended but optional - if omitted, Claude relies solely on the description for invocation decisions. ## Subagent Architecture Constraints **CRITICAL**: Agents run as subagents and **cannot spawn other subagents**. ``` Subagent Limitation: ┌─────────────────────────────────────────┐ │ Main Thread │ │ - Can use Task tool ✓ │ │ │ │ ┌─────────────────────────────────┐ │ │ │ Subagent (your agent) │ │ │ │ - CANNOT use Task tool ✗ │ │ │ │ - Skills still auto-invoke ✓ │ │ │ └─────────────────────────────────┘ │ └─────────────────────────────────────────┘ ``` **Implications:** - **DO NOT** include `Task` in agent tools - it creates false expectations - **For orchestration patterns**, create a skill instead (skills run in main thread) - **Skills auto-invoke** within agent context, so agents get skill expertise without Task **When to Use Skill vs Agent for Orchestration:** - Need to coordinate multiple agents? → Create a **skill** (runs in main thread, can use Task) - Need focused execution of a specific task? → Create an **agent** (specialized executor) ### Naming Conventions - **Lowercase letters, numbers, and hyphens only** - **No underscores or special characters** - **Max 64 characters** - **Action-oriented**: `code-reviewer`, `test-runner`, `api-designer` - **Descriptive**: Name should indicate the agent's purpose ## Agent Body Content The Markdown body should include: 1. **Role Definition**: Clear statement of the agent's identity and purpose 2. **Capabilities**: What the agent can do 3. **Workflow**: Step-by-step process the agent follows 4. **Best Practices**: Guidelines and standards the agent should follow 5. **Examples**: Concrete examples of expected behavior ### Template Structure ```markdown --- name: agent-name color: "#3498DB" description: One-line description of agent purpose and when to invoke it capabilities: ["task1", "task2", "task3"] tools: Read, Grep, Glob, Bash model: sonnet --- # Agent Name You are a [role description] with expertise in [domain]. Your role is to [primary purpose]. ## Your Capabilities 1. **Capability 1**: Description 2. **Capability 2**: Description 3. **Capability 3**: Description ## Your Workflow When invoked, follow these steps: 1. **Step 1**: Action and rationale 2. **Step 2**: Action and rationale 3. **Step 3**: Action and rationale ## Best Practices & Guidelines - Guideline 1 - Guideline 2 - Guideline 3 ## Examples ### Example 1: [Scenario] [Expected behavior and approach] ### Example 2: [Scenario] [Expected behavior and approach] ## Important Reminders - Reminder 1 - Reminder 2 - Reminder 3 ``` ## Tool Selection Strategy ### Minimal Permissions (Recommended Start) ```yaml tools: Read, Grep, Glob ``` Use for: Research, analysis, read-only operations ### File Modification ```yaml tools: Read, Write, Edit, Grep, Glob ``` Use for: Code generation, file editing, refactoring ### System Operations ```yaml tools: Read, Write, Edit, Grep, Glob, Bash ``` Use for: Testing, building, git operations, system commands ### Web Access ```yaml tools: Read, Grep, Glob, WebFetch, WebSearch ``` Use for: Documentation lookup, external data fetching ### Full Access ```yaml # Omit the tools field entirely ``` Use with caution: Agent inherits all available tools ## Model Selection - **haiku**: Fast, simple tasks (searches, summaries, quick analysis) - **sonnet**: Default for most tasks (balanced performance and cost) - **opus**: Complex reasoning, critical decisions, heavy analysis - **inherit**: Use the model from the parent context (default if omitted) ## Color Selection Colors provide visual identification when agents run in the terminal. ### Format - 6-digit hex color with `#` prefix: `"#RRGGBB"` - Must be quoted in YAML: `color: "#3498DB"` ### Recommended Color Palettes by Domain | Domain | Primary | Accent | Description | |--------|---------|--------|-------------| | **Meta/Building** | `#9B59B6` | `#8E44AD` | Purple shades for meta-programming agents | | **GitHub/Git** | `#3498DB` | `#2980B9` | Blue shades for version control | | **Testing/QA** | `#E74C3C` | `#C0392B` | Red shades for testing agents | | **Documentation** | `#27AE60` | `#229954` | Green shades for docs | | **Security** | `#F39C12` | `#D68910` | Orange/gold for security analysis | | **Performance** | `#1ABC9C` | `#16A085` | Teal for optimization agents | | **Research** | `#9B59B6` | `#8E44AD` | Purple for research/exploration | ### Plugin Color Families When creating agents for a plugin, use related shades to create visual cohesion: **Example: agent-builder plugin** ```yaml meta-architect: "#9B59B6" # Primary purple agent-builder: "#8E44AD" # Darker purple skill-builder: "#7D3C98" # Even darker command-builder: "#5B2C6F" # Darkest hook-builder: "#6C3483" # Mid-dark ``` **Example: github-workflows plugin** ```yaml workflow-orchestrator: "#3498DB" # Primary blue issue-manager: "#2980B9" # Darker blue pr-reviewer: "#1F618D" # Even darker release-manager: "#1A5276" # Darkest ``` ### Best Practices 1. **Consistency**: Use related colors for agents in the same plugin 2. **Contrast**: Ensure colors are visible on both light and dark terminals 3. **Meaning**: Choose colors that intuitively match the agent's purpose 4. **Avoid**: Very dark colors (`#000000`) or very light colors (`#FFFFFF`) ## Creating an Agent ### Step 1: Gather Requirements Ask the user: 1. What is the agent's primary purpose? 2. What task
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