Adding too many skills to an AI agent, specifically Claude Code, can paradoxically degrade its performance. Research indicates that beyond approximately 30 skills, performance drops significantly due to routing failures rather than context bloat. This degradation stems from "shadowing," where similar skill descriptions cause the agent to select the wrong tool, and "abandonment," where the agent gives up entirely. The core issue is that the agent's router primarily relies on skill names and descriptions, which carry only a small fraction of the relevant routing signal, leading to suboptimal or failed task execution. AI
IMPACT Exceeding ~30 skills in AI agents like Claude Code can lead to performance degradation, highlighting the importance of efficient skill management and routing mechanisms.
RANK_REASON Article discusses a specific limitation and performance degradation of a particular AI agent's feature (skill routing) rather than a new model release or core research.
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