arXiv cs.CLPaper
Break It Down, Pass It On: Cross-Task Skill Transfer in LLM Agents
Anyone building agent memory or skill libraries should read this before shipping one. The finding that task-level skill reuse can actively degrade performance below a no-memory baseline is a real warning against naive 'save what worked' approaches. Practical takeaway: bias your skill extraction toward subtask granularity and natural language over code snippets.