它把训练神经网络的思路搬来优化 Agent Skill：先让模型执行任务，再根据结果自动找问题、改指令，而不是靠人反复猜 Prompt。
This is a dev post classified by Jev as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
微软又开源了个挺有意思的东西：SkillOpt。 它把训练神经网络的思路搬来优化 Agent Skill：先让模型执行任务，再根据结果自动找问题、改指令，而不是靠人反复猜 Prompt。 几个亮点： 1️⃣ 从成功/失败轨迹里找具体优化点 2️⃣ 新版本必须超过基准分，否则自动拒绝 3️⃣ 不绑定特定模型，优化后的 Skill 可以迁移 4️⃣ 官方还拿它和手工 Skill、TextGrad 做了对比 简单说就是：让 Agent 的技能自己迭代，而不是一直手搓 Prompt。 🔗 https://github.com/microsoft/SkillOpt
Posted by lumxss (24.7k followers) 13 h ago · 9 likes · 1.4k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: skillopt.
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