Unverified50% confidenceTradeoffExact time
当Skill数量超过模型Context Window的承载上限时，向量检索成为实现动态Skill发现的必要手段
1
Sources
50%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
Unverified纯向量检索速度快但缺乏对任务上下文的深层语义理解，纯LLM遍历所有Skill会在技能库规模扩大后突破模型Context Window上限84% similarUnverified每一个可被自动调用的技能都会占用上下文窗口，技能越多，模型决策时需要处理的描述信息越多，增加token消耗并可能导致错误的调用判断75% similarUnverifiedThe Skill identification process typically relies on the model's semantic understanding of capability descriptions, and how a Skill description is written has a greater impact on actual invocation outcomes than the complexity of the code implementation.74% similarUnverifiedThe Skill mechanism uses on-demand loading: it first sends the metadata of all Skills to the large model, and after the large model selects the matching Skill, the full instructions are loaded.74% similarUnverifiedSkillBench focuses on measuring the incremental performance of a model+Skill combined system on specific tasks, unlike traditional benchmarks such as MMLU and HumanEval that measure general model capabilities.72% similar
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