SkillRouter
PulseAugur coverage of SkillRouter — every cluster mentioning SkillRouter across labs, papers, and developer communities, ranked by signal.
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AI agents learn and manage skills more effectively with new research
Recent research explores methods for improving the effectiveness and management of skills used by AI agents. Papers introduce techniques like SGUID for selecting optimal skill subsets for distillation, SkillMorph for gu…
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AI agents degrade with too many skills due to routing failures
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…
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LLM agents get diversity-aware skill routing framework
Researchers have introduced Diverse Skill Routing (DSR), a new framework designed to improve how large language model (LLM) agents select and utilize external skills. Unlike existing methods that rank skills based solel…
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New LLM agent skill routing methods improve efficiency and diversity
Researchers have developed new methods for LLM agents to select and utilize external skills more effectively. One approach, Gavel, uses a frozen LLM to elicit native skill routing by training only two linear maps, which…