SKT: Skill-Use Training at Scale via Verified Synthetic Data Generation

arXiv:2608.02287 · cs.AI · Submitted 2026-08-03 · Read on arXiv

cs.AI

Submitted: 2026-08-03

Updated: 2026-10-07

Code: https://github.com/anomalyco/opencode

Terminology

• Agent Skills — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Procedural Knowledge — 1× in this paper · explained in 3 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes

Sources

• Terminal-World: Scaling Terminal-Agent Environments via Agent Skills
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• Toward Scalable Terminal Task Synthesis via Skill Graphs
• Gemma 4 Technical Report
• GLM-5: from Vibe Coding to Agentic Engineering
• SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
• SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training
• CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents
• Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale
• SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
• SKILLC: Learning Autonomous Skill Internalization in LLM Agents via Contrastive Credit Assignment
• SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
• The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
• Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
• Skill-R1: Agent Skill Evolution via Reinforcement Learning
• Reinforcement Learning for Self-Improving Agent with Skill Library
• Towards Compositional Generalization of LLMs via Skill Taxonomy Guided Data Synthesis
• SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
• LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents
• MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization

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