Modu Ai Moai Adk Moai Tool Opencode

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SKILL.md

MoAI ADK - Multi-agent Orchestration Interface

Purpose

Orchestrate multiple AI agents for complex tasks using the MoAI framework.

Core Concepts

Agent Roles

•Planner: Breaks down complex tasks
•Executor: Performs specific actions
•Reviewer: Validates outputs
•Integrator: Combines results

Workflow Orchestration

•Task decomposition
•Agent assignment
•Parallel execution
•Result aggregation
•Quality verification

MoAI Tool Integration

Tools Available

•Task dispatch
•Context sharing
•Result aggregation
•Conflict resolution

Usage Patterns

Pattern 1: Sequential Pipeline

code

Input → Agent A → Agent B → Agent C → Output

Pattern 2: Parallel Processing

code

        ┌→ Agent A →┐
Input → ├→ Agent B →┼→ Integrator → Output
        └→ Agent C →┘

Pattern 3: Review Loop

code

Input → Executor → Reviewer → (Approved → Output)
                          └→ (Rejected → Executor)

Best Practices

•Clear Interfaces: Define inputs/outputs for each agent
•Context Management: Share relevant context between agents
•Error Handling: Plan for agent failures
•Progress Tracking: Monitor multi-agent workflows
•Result Verification: Validate final outputs

OpenCode Integration

Works seamlessly with OpenCode's subagent system:

•Use subagent tool for agent dispatch
•Leverage skill tool for capability loading
•Monitor with todo tool for task tracking

Usage

Activate for:

•Complex feature development
•Multi-step refactoring
•Cross-domain tasks
•Quality assurance workflows