MASkills: Continual Skills Optimization for Multi-Agent LLM Systems

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Researchers have developed MASkills, a framework that allows multi-agent systems to evolve by learning 'skills' rather than just storing memories. It uses a credit assignment system to identify which agents actually contributed to a win, then optimizes their procedural knowledge over time so they get smarter with every task.