Empirical study of 41k+ AI agent skills finds reuse is mostly one-time verbatim copying with 53% never modified afterward and maintenance focused on additive local adaptations.
Does my readme file need to be updated? exploring llm-based readme maintenance.arXiv preprint arXiv:2603.00489, 2026
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Single-agent RAG pipeline matches multi-agent lexical quality for README generation while cutting token consumption by 86% and doubling speed, with developer-guided planning yielding the highest overall quality.
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From Registry to Repository: How AI Agent Skills Are Written, Adapted, and Maintained
Empirical study of 41k+ AI agent skills finds reuse is mostly one-time verbatim copying with 53% never modified afterward and maintenance focused on additive local adaptations.
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The Illusion of Agentic Complexity in README.md Generation: Evaluating Single-Agent vs. Multi-Agent RAG Systems
Single-agent RAG pipeline matches multi-agent lexical quality for README generation while cutting token consumption by 86% and doubling speed, with developer-guided planning yielding the highest overall quality.