multi-agent-patterns

SKILL.md

Multi-agent architectures distribute work across multiple language model instances, each with its own context window. When designed well, this distribution enables capabilities beyond single-agent limits. When designed poorly, it introduces coordination overhead that negates benefits. The critical insight is that sub-agents exist primarily to isolate context, not to anthropomorphize role division.

Multi-agent systems address single-agent context limitations through distribution. Three dominant patterns exist: supervisor/orchestrator for centralized control, peer-to-peer/swarm for flexible handoffs, and hierarchical for layered abstraction. The critical design principle is context isolation—sub-agents exist primarily to partition context rather than to simulate organizational roles.

Effective multi-agent systems require explicit coordination protocols, consensus mechanisms that avoid sycophancy, and careful attention to failure modes including bottlenecks, divergence, and error propagation.

Concevez des architectures multi-agents pour des tâches complexes. À utiliser lorsque les limites du contexte d'un agent unique sont dépassées, lorsque les tâches se décomposent naturellement en sous-tâches ou lorsque la spécialisation des agents améliore la qualité. Source : svenja-dev/claude-code-skills.

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