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This skill provides a robust framework for managing the execution characteristics of autonomous agents across different Large Language Models, including Claude 4.5 and GLM series. It offers model-specific performance profiles, dynamic execution time allocation, and adaptive quality targets to ensure agents remain performant under varying workloads. By implementing intelligent memory management and real-time monitoring, the skill allows Claude to self-correct performance deviations and tune parameters automatically, making it ideal for high-scale agentic workflows that require a balance between speed, cost, and accuracy.
