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Attention Mechanics
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Context Degradation Patterns in LLMs
context-degradation
sickn33/agentic-awesome-skills
128
This skill covers predictable performance degradation patterns in language models as context length increases, including lost-in-middle effects, context poisoning, and distraction. It helps diagnose agent failures and design resilient systems by understanding attention mechanics and context engineering strategies for production environments.
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