SEAIJul 10

Inside the Skill Market: From Software Engineering Activities to Reusable Agent Skills

arXiv:2607.0906525.6h-index: 5
Predicted impact top 1% in SE · last 90 daysOriginality Incremental advance
AI Analysis

For researchers and practitioners in software engineering and AI agents, this study provides a systematic characterization of SE skills, revealing gaps and opportunities for skill reuse and ecosystem development.

This paper presents the first large-scale empirical study of software engineering skills in public repositories and marketplaces, analyzing their coverage across the software development lifecycle, evolution, and evaluation mechanisms. The findings show that SE activities are increasingly being encapsulated into reusable skills, highlighting opportunities for skill recommendation and engineering-oriented structuring.

Software engineering (abbrev. SE) has continuously evolved through increasingly powerful forms of reuse, from source code and libraries to components and services. Recent advances in AI agents have introduced a potentially new reusable artifact: skills. Emerging agent skill repositories and marketplaces enable developers to package, share, and reuse SE expertise as reusable skills. This trend raises a fundamental question: what SE activities are being encapsulated into reusable skills? Existing studies primarily focus on a broad range of skills acquisition, safety, or benchmarking, while lacking a systematic understanding of SE-specific skills and their coverage across the software development lifecycle. To address this gap, we conduct the first large-scale empirical study of SE skills in public repositories and marketplaces. We collect and analyze a large corpus of SE skills, examining the activities they encapsulate, lifecycle coverage, evolution characteristics, and evaluation mechanisms. Our findings reveal that SE activities are increasingly becoming reusable artifacts via skills and suggest promising research opportunities for skill recommendation and engineering-oriented structuring, as well as the need for mechanisms to encapsulate high-context SE activities into reusable skills. Overall, our study provides the first activity-centric characterization of SE skills and reveals how SE activities are increasingly being transformed into reusable skills. These findings offer new insights into skill reuse, ecosystem development, and the future of agent-centric SE.

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