Skill2Env: Capability-Oriented Environment Synthesis from Skills for General Agents
cs.AI
Submitted: 2026-09-27
Updated: 2026-09-27
Terminology
Sources
- SWE-Universe: Scale Real-World Verifiable Environments to Millions
- 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
- Endless Terminals: Scaling RL Environments for Terminal Agents
- GLM-5: from Vibe Coding to Agentic Engineering
- VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications
- CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents
- SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
- CLI-Gym: Scalable CLI Task Generation via Agentic Environment Inversion
- $\tau$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge
- SKT: Skill-Use Training at Scale via Verified Synthetic Data Generation
- Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments
- Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
- Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents
- NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs
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