想给LLM代理搞技能库？OpenClaw-Skill用树搜索取代扁平堆叠，两个阶段搞定组合与覆盖，比贪心蒸馏靠谱。
OpenClaw-Skill是一种新方法，通过树搜索而非贪心蒸馏来构建代理技能库。该方法分两个迭代阶段，联合生成、识别并组合技能节点，输出结构化的技能树。与传统的扁平化单次启发式技能列表相比，它能更好地实现组合性和覆盖性。该研究基于arXiv论文2606.16774。
// OpenClaw-Skill: Searching a Tree of Agent Skills // If you build reusable skill libraries for yo...
// OpenClaw-Skill: Searching a Tree of Agent Skills // If you build reusable skill libraries for your agents, this one is worth your time. Equipping LLM agents with effective skills is most of the battle in real systems, and most skill-induction work distills one trajectory at a time into a flat pile of single-shot heuristics. Searching a tree of candidate skills looks like a better way to get composition and coverage than greedy distillation. OpenClaw-Skill uses a collective signal to jointly generate, identify, and compose skill nodes across two iterative phases. The output is a structured tree of skills built for diversity and generalization rather than a flat list. Paper: arxiv.org/abs/2606.16774 Learn to build effective AI agents in our academy: academy.dair.ai 💬 3 🔄 1 ❤️ 14 👀 975 📊 6 ⚡
- IT之家06-15 22:56原文