SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents
SkillCorpus aggregates and curates approximately 821,000 open-source agent skills into a set of 96,401 curated skills, organized by taxonomy and quality facets. The framework integrates a retrieval-and-selection stack that delivers consistent performance improvements across three benchmarks, with the largest gain of +7.5 percentage points on SkillsBench. The study provides an end-to-end evaluation of when a curated, retrieval-served skill corpus benefits real-world LLM agent tasks.
Why it matters: This work addresses fragmentation and quality issues in the open skill ecosystem, offering the first comprehensive evaluation of the practical impact of a curated skill corpus for LLM agents.
Full story at: arXiv Computation and Language ↗