context-degradation

SKILL.md

Language models exhibit predictable degradation as context grows. Understanding these patterns is essential for diagnosing failures and designing resilient systems.

| Lost-in-Middle | Attention mechanics | 10-40% lower recall for middle content | | Context Poisoning | Errors compound | Tool misalignment, persistent hallucinations | | Context Distraction | Irrelevant info | Uses wrong information for decisions | | Context Confusion | Mixed tasks | Responses address wrong aspects |

| Context Clash | Conflicting info | Contradictory guidance derails reasoning |

Use when diagnosing agent failures, debugging lost-in-middle issues, understanding context poisoning, or asking about "context degradation", "lost in middle", "context poisoning", "attention patterns", "context clash", "agent performance drops" Source: eyadsibai/ltk.

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