elvis@omarsar0 · X传统LLM智能体技能路由仅从工具库选取单一技能，难以应对多技能组合的真实任务。本文形式化定义“组合式技能路由”，将复杂查询分解为原子子任务，为每个子任务检索对应技能并组合成可执行计划。系统SkillWeaver由LLM分解器、双编码器FAISS检索器和依赖感知DAG规划器构成。同时发布CompSkillBench基准，含300个组合查询和2,209个真实技能，直接评估多技能路由能力。DAG规划器将检索技能转化为有序、尊重依赖关系的计划。
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？