SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution

arXiv:2608.08037 · cs.AI · Submitted 2026-08-08 · Read on arXiv

Xinle Jiang, Remy Xie, Ming Tang

cs.AI

Submitted: 2026-08-08

Updated: 2026-08-11

Comments: 10 pages,8 figures

Code: https://github.com/NousResearch/hermes-agent

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

Terminology

• Trace — 15× in this paper · explained in 2 episodes
• Core — 9× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Verification — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Progressive Disclosure — 3× in this paper · explained in 3 episodes
• Transferability — 3× in this paper · explained in 5 episodes
• Ablation Study — 2× in this paper · explained in 3 episodes
• Benchmarking — 2× in this paper · explained in 4 episodes
• Conference on Language Modeling — 2× in this paper
• Distillation — 2× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 2× in this paper
• Clustering — 1× in this paper · explained in 2 episodes
• Failure Attribution — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 8 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 7 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Unified Framework — 1× in this paper · explained in 6 episodes

Sources

• CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration
• Distilling LLM Agent into Small Models with Retrieval and Code Tools
• Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models
• Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
• EvoSkill: Automated Skill Discovery for Multi-Agent Systems
• CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification
• Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
• SoK: Agentic Skills -- Beyond Tool Use in LLM Agents
• Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
• On the Structural Memory of LLM Agents
• SkillX: Automatically Constructing Skill Knowledge Bases for Agents
• SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
• SkillOpt: Executive Strategy for Self-Evolving Agent Skills

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