SkillWeaver：面向LLM Agent的组合技能路由论文

Cool paper on Skill routing for LLM agents.

Real tasks rarely map to a single skill. They need several composed together, but most skill routing still treats the problem as picking one tool from a library.

This work formalizes Compositional Skill Routing, decomposes a complex query into atomic sub-tasks, retrieves the right skill for each, and then composes an executable plan.

The system, SkillWeaver, pairs an LLM decomposer with a bi-encoder FAISS retriever and a dependency-aware DAG planner.

It comes with CompSkillBench, 300 compositional queries over 2,209 real skills, so the multi-skill case gets measured directly.

Why does it matter?

As skill libraries grow, single-skill retrieval quietly caps what an agent can do. The DAG planner turns retrieved skills into an ordered, dependency-respecting plan.

Paper: https://arxiv.org/abs/2606.18051

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