TIC (Taken In Consideration) is a skill for AI agents that forces systematic cascade-thinking: atomic decomposition, recursive consequence analysis, spatial/reality stress-testing, and gap identification — addressing LLMs' innate weakness in physical and spatial reasoning. Proven across image generation, creative writing, and system design.