Operations

The logistics-exception-management skill helps handle freight delays, damage, loss, refusals, disputes, and claims with structured escalation, evidence review, and customer-ready next steps. Built for issue tracking and operational decision-making, it fits logistics teams that need repeatable guidance instead of a generic prompt.

simpy is a Python framework for process-based discrete-event simulation. This simpy skill helps model queues, resources, and time-based events for manufacturing, service operations, logistics, networking, and simpy for Data Analysis when you need wait time, utilization, throughput, or bottleneck insights.