OpenClaw-Skill：搜索技能树以提升Agent能力

// 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: https://arxiv.org/abs/2606.16774

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