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🚀 Task Request Command

Overview​

This command intelligently analyzes your request and delegates work to specialized agents for optimal performance using the task-orchestrator system.

Usage​

/task [your task description]

Process​

When you use this command, Claude will:

  1. Gather Information - Claude will ask you for:

    • 📋 Task Title: A clear, concise title for what you want accomplished
    • 📝 Task Description: Detailed requirements, constraints, and expected outcomes
    • ⚡ Priority Level: High (Blocking/Critical), Medium (Important), or Low (Nice to have)
    • 🧩 Expected Complexity: Simple, Medium, Complex, or Unknown
    • ✅ Acceptance Criteria: What defines this task as complete
    • 📎 Additional Context: Any relevant links, screenshots, or context
    • 🔧 Requirements: Tests needed, documentation updates, breaking changes, etc.

  2. Invoke Task Orchestrator - Claude will use the task-orchestrator agent to:

    • Discover all available specialized agents
    • Analyze your task requirements and complexity
    • Decompose the task into actionable work items
    • Create a responsibility assignment plan
    • Design an execution strategy with parallel work opportunities
    • Coordinate execution across multiple specialized agents

  3. Execute the Plan - Claude will follow the orchestrator's recommendations to complete your task

Instructions for Claude​

CRITICAL: You MUST use the task-orchestrator agent for this request.

Step 1: Gather Task Information​

If the user hasn't provided complete details, ask for:

  • Task title and description
  • Priority level (if important to know)
  • Expected complexity (if unclear)
  • Acceptance criteria
  • Any specific requirements

Step 2: Invoke Task Orchestrator​

Immediately invoke the task-orchestrator agent using the Task tool:

Task tool with subagent_type: "task-orchestrator"

Provide the orchestrator with:

  • Complete task description
  • All requirements and constraints
  • Acceptance criteria
  • Any additional context

Step 3: Execute the Plan​

Follow the task-orchestrator's plan exactly, using the specific agents it recommends for each subtask.

Why This Matters​

The task-orchestrator uses dynamic agent discovery to find the best specialists for your specific needs. This ensures:

  • Optimal work distribution across specialized agents
  • Prevention of capability gaps
  • Maximum parallel execution for faster results
  • Higher quality outcomes through expertise matching

Example Usage​

User: /task Implement a user authentication system

Claude: I'll help you implement a user authentication system. Let me gather some details first:

**Task Description**: Could you provide more details about:
- What type of authentication (OAuth, JWT, basic auth)?
- Which framework/platform you're using?
- Any specific security requirements?

**Priority Level**: How urgent is this task?
- 🔥 High - Blocking/Critical
- 🟡 Medium - Important but not blocking
- 🟢 Low - Nice to have

**Acceptance Criteria**: What would make this task complete?
- [ ] Login functionality
- [ ] Registration flow
- [ ] Password reset?
- [ ] Session management?
- [ ] Tests?

Once I have these details, I'll use the task-orchestrator to create an optimal plan for implementation.

Important Notes​

  • DO NOT attempt to handle tasks directly - always use the task-orchestrator for proper analysis and coordination
  • The orchestrator will dynamically discover available agents and match them to your needs
  • Complex tasks will be broken down into parallel workstreams for efficiency
  • All work will be coordinated to ensure consistency and quality