Cover Image

Skill-as-Pseudocode: Refactoring Skill Libraries to Pseudocode for LLM Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xinze, Zang, Yuhang, Cao, Yixin, Sun, Aixin
Format:	Preprint
Published:	2026
Subjects:	Programming Languages Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EMemBench: Interactive Benchmarking of Episodic Memory for VLM Agents
by: Li, Xinze, et al.
Published: (2026)

PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization
by: Cao, Zouying, et al.
Published: (2025)

Long Context vs. RAG for LLMs: An Evaluation and Revisits
by: Li, Xinze, et al.
Published: (2024)

Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks
by: Gong, Chang, et al.
Published: (2025)

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
by: Chae, Hyungjoo, et al.
Published: (2024)

DuET: Dual Execution for Test Output Prediction with Generated Code and Pseudocode
by: Han, Hojae, et al.
Published: (2026)

Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution
by: Li, Xinze, et al.
Published: (2023)

The Scaling Laws of Skills in LLM Agent Systems
by: Chen, Charles, et al.
Published: (2026)

Skill is Not One-Size-Fits-All: Model-Aware Skill Alignment for LLM Agents
by: Yu, Jianxiang, et al.
Published: (2026)

Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries
by: Zeng, Kun, et al.
Published: (2026)

Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings
by: Ma, Yubo, et al.
Published: (2025)

SkillCraft: Can LLM Agents Learn to Use Tools Skillfully?
by: Chen, Shiqi, et al.
Published: (2026)

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
by: Li, Xiaoyuan, et al.
Published: (2026)

GraSP: Graph-Structured Skill Compositions for LLM Agents
by: Xia, Tianle, et al.
Published: (2026)

Skill-LLM: Repurposing General-Purpose LLMs for Skill Extraction
by: Herandi, Amirhossein, et al.
Published: (2024)

Skills on the Fly: Test-Time Adaptive Skill Synthesis for LLM Agents
by: Wang, Jingxing, et al.
Published: (2026)

Refactoring Programs Using Large Language Models with Few-Shot Examples
by: Shirafuji, Atsushi, et al.
Published: (2023)

SkillMAS: Skill Co-Evolution with LLM-based Multi-Agent System
by: Pan, Shuai, et al.
Published: (2026)

ReGAL: Refactoring Programs to Discover Generalizable Abstractions
by: Stengel-Eskin, Elias, et al.
Published: (2024)

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
by: Ma, Yubo, et al.
Published: (2023)

VeriAgent: A Tool-Integrated Multi-Agent System with Evolving Memory for PPA-Aware RTL Code Generation
by: Wang, Yaoxiang, et al.
Published: (2026)

SkillBrew: Multi-Objective Curation of Skill Banks for LLM Agents
by: Hu, Wentao, et al.
Published: (2026)

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle
by: Martone, Michele, et al.
Published: (2025)

SkillRAE: Agent Skill-Based Context Compilation for Retrieval-Augmented Execution
by: Meng, Xiangcheng, et al.
Published: (2026)

Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
by: Wang, Hao, et al.
Published: (2026)

How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings
by: Liu, Yujian, et al.
Published: (2026)

SkillOpt: Executive Strategy for Self-Evolving Agent Skills
by: Yang, Yifan, et al.
Published: (2026)

SkillOS: Learning Skill Curation for Self-Evolving Agents
by: Ouyang, Siru, et al.
Published: (2026)

From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills
by: Liang, Qiliang, et al.
Published: (2026)

AlignEvoSkill: Towards Knowledge-Aware and Task-Aligned Agent Skill Evolution
by: Wang, Dingzirui, et al.
Published: (2025)

Terminal-World: Scaling Terminal-Agent Environments via Agent Skills
by: Cheng, Zihao, et al.
Published: (2026)

EffiSkill: Agent Skill Based Automated Code Efficiency Optimization
by: Wang, Zimu, et al.
Published: (2026)

LLM4Decompile: Decompiling Binary Code with Large Language Models
by: Tan, Hanzhuo, et al.
Published: (2024)

CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
by: Wei, Anjiang, et al.
Published: (2025)

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
by: Liu, Hongyi, et al.
Published: (2026)

SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories
by: Yu, Zhuoyun, et al.
Published: (2026)

Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale
by: Li, Hao, et al.
Published: (2026)

SkillFlow: Scalable and Efficient Agent Skill Retrieval System
by: Li, Fangzhou, et al.
Published: (2025)

MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations
by: Ma, Yubo, et al.
Published: (2024)

Semia: Auditing Agent Skills via Constraint-Guided Representation Synthesis
by: Wen, Hongbo, et al.
Published: (2026)