mlsanityData to 7 Oct 2026

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

arXiv 2607.09065 ↗First posted 10 Jul 2026cs.SE cs.AIcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 27 of its 53 references that are in the map. First posted on arXiv 10 Jul 2026.

Builds on

27 of 53 references.

References · 27

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  2. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
  3. 2023Voyager: An Open-Ended Embodied Agent with Large Language Modelscited by 2,081
  4. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,761
  5. 2024SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineeringcited by 1,628
  6. 2023ChatDev: Communicative Agents for Software Developmentcited by 893
  7. 2026Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skillscited by 161
  8. 2026SoK: Agentic Skills -- Beyond Tool Use in LLM Agentscited by 120
  9. 2026CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verificationcited by 117
  10. 2024FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Makingcited by 112
  11. 2026Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forwardcited by 105
  12. 2026Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scalecited by 94
15 more
  1. 2025Understanding Software Engineering Agents: A Study of Thought-Action-Result Trajectoriescited by 75
  2. 2026SkillX: Automatically Constructing Skill Knowledge Bases for Agentscited by 69
  3. 2026Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionalitycited by 66
  4. 2026Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scalecited by 65
  5. 2026How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settingscited by 62
  6. 2026SkillNet: Create, Evaluate, and Connect AI Skillscited by 48
  7. 2025Mutation-Guided LLM-based Test Generation at Metacited by 23
  8. 2026A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applicationscited by 17
  9. 2026Agent Skill Evaluation and Evolution: Frameworks and Benchmarkscited by 6
  10. 2025Benchmarking and Studying the LLM-based Agent System in End-to-End Software Developmentcited by 5
  11. 2021Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Languagecited by 4
  12. 2025Software Reuse in the Generative AI Era: From Cargo Cult Towards AI Native Software Engineeringcited by 2
  13. 2025Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agentscited by 2
  14. 2026Can LLM Agents Generate Real-World Evidence? Evaluating Observational Studies in Medical Databasescited by 2
  15. 2026Skill Weaving: Efficient LLM Improvement via Modular Skillpackscited by 1

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