SkillAligner: Treating Retrieved Skills as Adaptable Drafts at Execution Time

arXiv:2608.06880 · cs.LG · Submitted 2026-08-07 · Read on arXiv

Qinfeng Li, Dalin He, Yuntai Bao, Ying Yang, Ruoxi Chen, Xinyan Yu, Lizhou Liang, Ge Su, Wenqi Zhang, Xuhong Zhang

cs.LG

Submitted: 2026-08-07

Updated: 2026-08-10

Comments: 21 pages, 5 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Adaptation — 35× in this paper · explained in 1 episode
• Benchmark — 34× in this paper · explained in 2 episodes
• Grounding — 17× in this paper · explained in 3 episodes
• Trace — 13× in this paper · explained in 2 episodes
• Procedural Knowledge — 6× in this paper · explained in 3 episodes
• Redundancy — 6× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Core — 5× in this paper · explained in 2 episodes
• Verification — 4× in this paper · explained in 2 episodes
• Evaluation Protocol — 3× in this paper · explained in 2 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Self-Evolving Agents — 3× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 4 episodes
• Commentary — 2× in this paper · explained in 2 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Agentic AI — 1× in this paper · explained in 2 episodes
• Harness — 1× in this paper · explained in 2 episodes
• Online Adaptation — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale
• SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• SelfEvoSkill: Paired Execution Audits for Skill Revision without External Outcome Supervision
• SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-Refinement
• SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
• MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
• Graph-of-Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills
• SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision
• SkillRAE: Agent Skill-Based Context Compilation for Retrieval-Augmented Execution
• SkillOS: Learning Skill Curation for Self-Evolving Agents
• Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
• Skill Retrieval Augmentation for Agentic AI
• Reinforcement Learning for Self-Improving Agent with Skill Library
• SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
• GraSP: Graph-Structured Skill Compositions for LLM Agents
• SkillPyramid: A Hierarchical Skill Consolidation Framework for Self-Evolving Agents
• Qwen3 Technical Report
• SkillOpt: Executive Strategy for Self-Evolving Agent Skills
• SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents

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