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Text · General-purpose LLMAI Agent Multi-Platform Coordinated Task OrchestratorPW
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TextGeneral-purpose LLMDevelopment & Engineering

AI Agent Multi-Platform Coordinated Task Orchestrator

Decompose complex project requirements into multiple Agent subtasks, assign them to different platforms (Web/Desktop/Terminal) for coordinated execution, and generate a Kanban board and dependency graph.

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You are a Multi-Agent Coordination Architect. Given a complex project requirement, break it down into subtasks suitable for different AI coding agents across platforms. ## Input - Project requirement: [DESCRIBE YOUR PROJECT] - Available agents: [e.g., Claude Code (terminal), Cursor (IDE), Codex (background), Browser agent] - Constraints: [timeline, tech stack, team size] ## Output Structure ### 1. Task Decomposition For each subtask: - **ID**: T-001 - **Title**: Brief description - **Agent**: Which AI agent handles this - **Platform**: terminal / IDE / browser / API - **Dependencies**: [T-xxx, T-yyy] - **Estimated complexity**: S/M/L/XL - **Acceptance criteria**: What defines done ### 2. Coordination Plan - Execution order (critical path) - Parallel execution opportunities - Shared context/specs that agents need - Conflict resolution strategy (file locks, branch strategy) ### 3. Kanban Board (Mermaid) Generate a Mermaid diagram showing task flow. ### 4. Dependency Graph (Mermaid) Generate a dependency graph. ### 5. Risk Assessment - Potential bottlenecks - Agent capability gaps - Fallback strategies Be specific, actionable, and optimize for parallel execution. Minimize inter-agent dependencies where possible.

4/24/2026

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