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SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents

Hongcheol Cho, Ryangkyung Kang, Youngeun Kim · May 7, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 33% Moderate protocol signal Freshness: Cold Status: Ready
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  • As LLM agents are increasingly deployed with large libraries of reusable skills, selecting the right skill for a user request has become a critical systems challenge.
  • To address this gap, we introduce SkillRet, a large-scale benchmark for skill retrieval in LLM agents.
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