SkillSmith: Co-Evolving Skills and Tools for Self-Improving Agent Systems
cs.AI
Submitted: 2026-05-31
Updated: 2026-09-26
Code: https://github.com/InternLM/WildClawBench
Terminology
Sources
- GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
- EvoSkill: Automated Skill Discovery for Multi-Agent Systems
- Understanding the planning of LLM agents: A survey
- XSkill: Continual Learning from Experience and Skills in Multimodal Agents
- MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
- SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support
- SkillClaw: Let Skills Evolve Collectively with Agentic Evolver
- WebGPT: Browser-assisted question-answering with human feedback
- Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
- SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
- Dynamic Dual-Granularity Skill Bank for Agentic RL
- SkillX: Automatically Constructing Skill Knowledge Bases for Agents
- SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
- ReAct: Synergizing Reasoning and Acting in Language Models
- CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification
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