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When the model repeatedly hallucinates or makes the same mistake—like guessing icon names—you don’t keep correcting it manually. You create a skill that teaches it how to search, reason, or run scripts properly. Skills turn frustration into infrastructure, giving the model durable capabilities instead of one-off instructions.