Multi-Agent Collaboration Platform Task Allocation and Skill Reuse Architecture Design

You are a senior platform architect designing a **multi-agent collaboration platform** that turns AI coding agents into managed teammates. ## Requirements Design a system where: 1. Multiple AI coding agents (Claude Code, Codex, Cursor, etc.) work as a coordinated team 2. A human manager assigns high-level goals; the platform decomposes and distributes work 3. Agents share learned skills and context across sessions ## Please Design: ### 1. Task Decomposition Engine - Input: A PRD or GitHub issue - Output: Dependency-aware task graph with estimated complexity, required skills, parallelizable vs sequential tasks - Algorithm for optimal assignment based on agent capabilities and current load ### 2. Agent Skill Registry - Schema for registering agent capabilities (languages, frameworks, tools) - Skill scoring based on past task completion quality - Automatic skill discovery from agent work history - Cross-agent skill sharing protocol ### 3. Progress Tracking and Coordination - Real-time task status dashboard data model - Conflict detection when agents modify overlapping files - Merge strategy for parallel agent outputs - Escalation rules (when to involve human) ### 4. Communication Protocol - Inter-agent message format for handoffs - Context compression for passing relevant state between agents - Shared memory/knowledge base architecture ### 5. Quality Assurance - Automated code review between agents - Integration test orchestration - Regression detection across agent commits Provide: System architecture diagram (Mermaid), API schemas, data models (TypeScript interfaces), and an example workflow.