LLM Agent Skill Retrieval

LLM: Large Language Model

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11 papers in the last four weeks, up 57% on the four weeks before. 0.1% of all new papers.

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SKIMIX: Multi-Agent Harness-Time Scaling with Skill Mixture for Dynamic Harness Engineering
Jul 30, 2026Jia LuoAgent Harness Optimization Multi-Agent Collaboration
Huazhong University of Science and Technology
HiSkill: Empowering LLM Agents with Hierarchical Skill Graphs
Jul 28, 2026Yu Hao, Jinxuan Cai, Qi Zhang +4LLM Agent Skill Learning LLM Agent Skill Retrieval
Beijing University of Posts and Telecommunications · China Mobile Group Shaanxi Co., Ltd · Ant Group
Workflow-Localized Mechanism Learning: Attribution-Guided Repair and Knowledge Reuse for Structured Agent Skills
Jul 23, 2026Zibin Lin, Shengli Zhang, Taotao Wang +3LLM Agent Workflow Optimization LLM Agent Skill Learning
Shenzhen University, Shenzhen, China
SkillSight: Calibrating Generic Content Bias for Skill Retrieval
Jul 21, 2026Jinying Xiao, Bin Li, Xiaopeng Li +7Lexical Retrieval LLM Agent Skill Retrieval
1National University of Defense Technology · 2Qinghai Normal University · 3Xizang University
SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents
Jul 17, 2026Yanze Wang, Pengfei Yao, Tianyi Sun +7LLM Agent Evaluation LLM Agent Skill Retrieval
1EverMind · 2Shanda Group · 3Peking University
Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries
Jul 11, 2026Yubo LiLLM Agent Evaluation LLM Agent Skill Learning
Carnegie Mellon University
SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents
Jul 8, 2026Tianming Sha, Yue Zhao, Lichao Sun +1LLM Grounding LLM Agent Skill Learning
1Stony Brook University · University of Southern California · 3Lehigh University +1
Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows
Jul 8, 2026Wei-Jung HuangLLM Prompting LLM Agent Evaluation
Independent Researcher United States
Task Decomposition-Guided Reranking for Adaptive Agent Skill Retrieval
Jul 7, 2026Yanping Chen, Weijie Shi, Wen Yang +1LLM Planning LLM Reranking
School of Computer Science and Technology, Soochow University · The Hong Kong University of Science and Technology
SkillFab: An Agent-Native Skill Production Platform
Jul 4, 2026Anjie Xu, Yifeng Cai, Yi Li +5LLM Agent Orchestration LLM Agent Skill Learning
Peking University · Zhongguancun Academy · Huawei +1
RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources
Jun 28, 2026Yijia Fan, Zonglin Di, Zimo Wen +8Software Engineering Agents LLM Agent Skill Learning
Microsoft Research · University of California, Santa Cruz · Shanghai Jiao Tong University
Automating SKILL.md Generation for Computer-Using Agents via Interaction Trajectory Mining
Jun 18, 2026Yuexing Hao, Xiaomin LiAgentic RL Computer-Use Agents
Massachusetts Institute of Technology · Harvard University
Compositional Skill Routing for LLM Agents: Decompose, Retrieve, and Compose
Jun 16, 2026Xueping GaoTool-Augmented Language Model Agents LLM Planning
Alibaba Cloud Hangzhou, China
Beyond Domains: Reusing Web Skills via Transferable Interaction Patterns
Jun 16, 2026Shiqi He, Yue Cui, Feijie Wu +5Tool-Augmented Language Model Agents LLM Agent Skill Learning
University of Michigan · Alibaba Group · Purdue University +2
SkillWiki: A Living Knowledge Infrastructure for Agent Skills
Jun 15, 2026Dingcheng Huang, Yuda Ding, Bingshuo Liu +8LLM Agent Skill Learning LLM Agent Skill Retrieval
Harbin Institute of Technology · Tencent · Nanyang Technological University
Not All Skills Help: Measuring and Repairing Agent Knowledge
Jun 13, 2026Yixuan Wang, Yiyang Zhou, Yiming Liang +4Causal Attribution LLM Agent Skill Learning
UNC Chapel Hill · Purdue · NVIDIA
Right Family, Wrong Skill: Evaluating Risk Exposure in Agent Skill Retrieval
Jun 9, 2026Jiandong Ding, Honglei Ji, Ming Liu +1Agentic Retrieval LLM Agent Skill Retrieval
Huawei Technologies Co., Ltd. Shanghai, China · Department of Obstetrics Shanghai East Hospital, Tongji University School of Medicine Shanghai, China
Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory
Jun 8, 2026Haoran Sun, Wenjie Li, Yujie Zhang +8Continual Learning for LLM Agents LLM Agent Memory
1Fudan University · 2Shanghai Artificial Intelligence Laboratory · University of Science and Technology of China +1
Anything2Skill: Compiling External Knowledge into Reusable Skills for Agents
Jun 8, 2026Qianjun Pan, Yutao Yang, Junsong Li +5LLM Agent Memory LLM Agent Skill Learning
School of Computer Science and Technology, East China Normal University, Shanghai · Shanghai AI Laboratory
SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale
Jun 2, 2026Tong Bai, Zhenglin Wan, Pengfei Zhou +3LLM Agent Skill Retrieval Dynamic Graph Learning
1Fudan University · 2National University of Singapore · 3CFAR, A*STAR
SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision
May 31, 2026Yuxuan Liu, Zhaochen Su, Lingyun Xie +11LLM Agent Self-Improvement LLM Agent Skill Learning
The Hong Kong University of Science and Technology · Harbin Institute of Technology · Harbin Institute of Technology, Shenzhen +2
SkillPager: Query-Adaptive Intra-Skill Navigation via Semantic Node Retrieval
May 30, 2026Zicai Cui, Zihan Guo, Weiwen Liu +1LLM Agent Skill Retrieval LLM Agents
Shanghai Jiao Tong University · Shanghai Innovation Institute · Sun Yat-sen University
Harnessing Agent Skills: Architectural Patterns and a Reference Architecture for Skill-Mediated LLM Agents
May 29, 2026Boming Xia, Liming Zhu, Zhenchang Xing +3LLM Agent Orchestration LLM Agent Skill Retrieval
Responsible AI Research (RAIR) Centre, Adelaide, SA, Australia · Adelaide University, Adelaide, SA, Australia · CSIRO, Sydney, NSW, Australia +1
Skill is Not One-Size-Fits-All: Model-Aware Skill Alignment for LLM Agents
May 29, 2026Jianxiang Yu, Jiapeng Zhu, Bochen Lin +3LLM Agent Skill Learning LLM Agent Skill Retrieval
East China Normal University, Shanghai, China
SkillsInjector: Dynamic Skill Context Construction for LLM Agents
May 28, 2026Yanchao Li, Wanhao Liu, Ben Gao +5Tool-Augmented Language Model Agents LLM Agent Skill Learning
1Nanjing University · 2Shanghai AI Lab
Skill-as-Pseudocode: Refactoring Skill Libraries to Pseudocode for LLM Agents
May 27, 2026Xinze Li, Yuhang Zang, Yixin Cao +1Tool-Augmented Language Model Agents LLM Agent Skill Retrieval
Nanyang Technological University · Shanghai AI Laboratory · Fudan University
MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
May 26, 2026Huawei Lin, Peng Li, Jie Song +2LLM Agent Skill Learning LLM Agent Skill Retrieval
ByteDance Inc.
Library Drift: Diagnosing and Fixing a Silent Failure Mode in Self-Evolving LLM Skill Libraries
May 19, 2026Xing Zhang, Yanwei Cui, Guanghui Wang +4Continual Learning for LLM Agents LLM Agent Self-Improvement
1AWS Generative AI Innovation Center · 2HSBC Holdings Plc., HSBC Technology Center, China.
Skills on the Fly: Test-Time Adaptive Skill Synthesis for LLM Agents
May 16, 2026Jingxing Wang, Chenyu Zhou, Zhihui Fu +4Test-Time Adaptation LLM Agent Skill Learning
1Shanghai Jiao Tong University · 2OPPO Research Institute
SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
May 12, 2026Xiaoyuan Li, Moxin Li, Keqin Bao +4LLM Agent Skill Learning LLM Agent Skill Retrieval
University of Science and Technology of China · 3National University of Singapore · 2Alibaba Group

Jul 30, 2026, cs.AIJ/K move · Enter open · S save

SKIMIX: Multi-Agent Harness-Time Scaling with Skill Mixture for Dynamic Harness Engineering

Jia Luo

Huazhong University of Science and Technology

Agent Harness Optimization Multi-Agent Collaboration LLM Agent Skill Learning LLM Agent Skill Retrieval Multi-Agent Reasoning

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AI agents increasingly rely on large skill libraries, but selecting, combining, and maintaining skills remains difficult. We propose SKIMIX, a multi-agent framework in which agents with different skill portfolios collaborate through iterative refinement. SKIMIX combines embedding-based skill retrieval, submodular anti-dilution routing, and adaptive skill evolution. Across six reasoning benchmarks, multi-agent collaboration substantially improves open-ended mathematical reasoning but offers limited or negative gains on multiple-choice tasks. Agent-count scaling is non-monotonic, and most improvements arise during the first refinement round. These results show that task characteristics determine whether skill-level ensembles help and provide practical guidance for scalable agent design.

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