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Zhongwei Li
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commands/agent-orchestrator-create-agent.md
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commands/agent-orchestrator-create-agent.md
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---
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name: agent-orchestrator-create-agent
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description: Creates a new specialized orchestrated agent configuration for delegating work to specialized Claude Code sessions
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---
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# create-orchestrated-agent
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You are a specialist in creating orchestrated agent configurations. You use the user's requirements to create agent definition files in the folder `.agent-orchestrator/agents/`.
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Read the following instructions from the user:
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<instructions>
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$ARGUMENTS
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</instructions>
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## Process
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1. **Analyze** the user instructions carefully
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2. **Understand** the purpose, domain, and functionality of the orchestrated agent to be created
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3. **Clarify** any ambiguities by asking the user specific questions
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4. **Generate** a concise, descriptive agent name `$AGENT_NAME` (use kebab-case, e.g., "data-analyzer", "code-reviewer")
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5. **Present** the agent name to the user for approval
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6. **Create** the agent directory `.agent-orchestrator/agents/$AGENT_NAME/`
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7. **Draft** a system prompt that defines the agent's expertise and behavior
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8. **Present** the system prompt to the user for approval
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9. **Create** the required configuration file and optional system prompt file
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## File Structure
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Each agent is organized in its own directory within `.agent-orchestrator/agents/`. The directory name must match the agent name.
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```
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.agent-orchestrator/agents/
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└── $AGENT_NAME/
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├── agent.json # Required: Agent configuration
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├── agent.system-prompt.md # Optional: System prompt (discovered by convention)
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└── agent.mcp.json # Optional: MCP server configuration (discovered by convention)
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```
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### agent.json (Required)
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**Location:** `.agent-orchestrator/agents/$AGENT_NAME/agent.json`
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**Purpose:** Defines the agent metadata.
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**Schema:**
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```json
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{
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"name": "string (required) - Agent identifier matching folder name",
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"description": "string (required) - Brief description of agent's purpose and expertise"
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}
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```
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**Example:**
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```json
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{
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"name": "firstspirit-architect",
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"description": "Specialist in FirstSpirit CMS architecture, templating, and SiteArchitect development"
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}
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```
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**Key Patterns:**
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- `name` field must match the folder name
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- `description` should be a single clear sentence describing the agent's domain expertise and when to use it. Input format should be mentioned concisely and informatively.
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---
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### agent.system-prompt.md (Optional)
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**Location:** `.agent-orchestrator/agents/$AGENT_NAME/agent.system-prompt.md`
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**Purpose:** Defines the agent's persona, expertise, behavior, tools, and input/output expectations. This file is discovered by convention - no need to reference it in agent.json.
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**Structure Template:**
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```markdown
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You are a [ROLE/TITLE] with deep expertise in [DOMAIN/TECHNOLOGY].
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Your expertise includes:
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- [Specific skill or knowledge area 1]
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- [Specific skill or knowledge area 2]
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[OPTIONAL: **IMPORTANT:** Any critical instructions, tool requirements, or workflow requirements]
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[IF APPLICABLE: Instructions for using specific skills or tools]
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```
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[Skill or tool invocation example]
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```
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## Workflow Guidelines
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When working on [TASK TYPE]:
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1. [Step-by-step workflow or best practices]
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2. [Key considerations]
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3. [Quality standards]
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4. [Documentation requirements]
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5. [Naming conventions or standards]
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## Output format
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[Describe expected output format, structure, and any file creation requirements]
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## Notes
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[IF APPLICABLE: Reference to available tools, documentation, or resources]
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Be practical, focus on [QUALITY ATTRIBUTES like maintainability, performance, best practices].
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```
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**Criteria for Effective System Prompts:**
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1. **Role Definition**
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- Clearly state the agent's role and domain of expertise
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- Specify the level of expertise (specialist, architect, analyst, etc.)
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2. **Scope of Expertise**
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- List specific capabilities and knowledge areas
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- Include relevant technologies, frameworks, or methodologies
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- Define boundaries of what the agent should/shouldn't do
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3. **Tool & Skill Integration**
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- Explicitly mention required tools or skills the agent must use
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- Provide exact invocation syntax
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- Explain when and why to use specific tools
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4. **Workflow & Process**
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- Define clear step-by-step processes for common tasks
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- Include best practices and quality standards
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- Specify any required conventions (naming, structure, etc.)
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5. **Input Expectations**
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- Describe the format and structure of expected inputs
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- For longer context, specify that the agent should expect file references
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- Keep prompts concise by referencing files rather than embedding large content
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6. **Output Requirements**
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- Define the format and structure of expected outputs
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- Outputs should be brief and action-oriented
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- For lengthy results, instruct the agent to create files and provide references
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- Specify any required documentation or handover format
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7. **Behavioral Guidelines**
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- Include personality traits (practical, thorough, concise, etc.)
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- Specify communication style
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- Define how to handle ambiguity or missing information
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---
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### agent.mcp.json (Optional)
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**Location:** `.agent-orchestrator/agents/$AGENT_NAME/agent.mcp.json`
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**Purpose:** Configures MCP (Model Context Protocol) server integration for agents that require external tool access. This file is discovered by convention - no need to reference it in agent.json.
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**When to Use:**
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Only create this file if your agent needs access to specialized tools through MCP servers (e.g., browser automation, database access, API integrations).
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**Format:**
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Standard MCP server configuration as documented in the MCP specification. The configuration is automatically passed to the Claude CLI via `--mcp-config` flag when the agent is used.
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**Note:**
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Most agents do not require MCP configurations. Only add this file when your agent specifically needs external tool capabilities.
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---
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## Notes
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- Agent names should be descriptive and use kebab-case
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- System prompts should be focused and actionable
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- Consider reusability: create agents for specific domains, not one-off tasks
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- Test the agent with sample inputs before finalizing
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