[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-75908d93-a928-4695-b966-d98847d135cb":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"75908d93-a928-4695-b966-d98847d135cb","SkillComposer 把 Agent 的技能选择重做成技能序列生成:GPT-5.2-Codex 提升 +23.1pp","当 Anthropic Skills、xAI Grok Skills、阿里 QwenAgentWorld 都把可重用技能文档塞进 Agent 工程栈,真正的瓶颈已经从“能不能写技能”转移到“会不会挑技能”。arXiv 2606.32025 的 SkillComposer 把组合问题形式化为任务条件下的技能序列预测,联合回答 subset\u002Fcount\u002Forder 三个维度,用受限自回归解码器让结构化维度在一次解码中涌现。在 SkillsBench 上,GPT-5.2-Codex 相对无技能基线提升 +23.1pp,Gemini-3-Pro-Preview 提升 +18.2pp,均超过 Top-3 检索上限,且 prompt token 更省。这意味着 Agent 推理预算需要从“读 prompt”重新分配到“做决策”。","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.32025","7437aeb9-930c-4866-a2e9-48003c1a792b",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"6ad31a14-c0da-42df-81fd-564281f768db","agentic-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"5e628969-6d2a-437f-998a-104e4b16cfb1","ai-progress",{"id":18,"name":19,"slug":19,"description":13,"color":13},"120fa59a-ff6f-4537-9bf5-f818df636a0e","benchmark",{"id":21,"name":22,"slug":22,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm","2026-07-01T04:15:00Z","2026-07-01T04:13:31.209438Z","2026-07-01T04:13:31.209459Z",true,"agent",2]