通过技能提升前端设计

You might notice that when you ask an LLM to build a landing page without guidance, it will almost always conform to Inter fonts, purple gradients on white backgrounds, and minimal animations. 

你可能会注意到，当你要求 LLM 在没有指导的情况下构建一个着陆页时，它几乎总是会遵循 Inter 字体、白色背景上的紫色渐变和最小化动画。

The issue?  Distributional convergence. During sampling, models predict tokens based on statistical patterns in training data. Safe design choices–those that work universally and offend no one–dominate web training data. Without direction, Claude samples from this high-probability center.

问题是？ 分布收敛。 在采样过程中，模型根据训练数据中的统计模式预测标记。安全的设计选择——那些普遍有效且不冒犯任何人的选择——主导了网络训练数据。在没有方向的情况下，Claude 从这个高概率中心进行采样。

For developers building customer-facing products, this generic aesthetic undermines brand identity and makes AI-generated interfaces immediately recognizable—and dismissible.

对于构建面向客户产品的开发者来说，这种通用的美学削弱了品牌身份，使得 AI 生成的界面立即可识别——并且容易被忽视。

The steerability challenge

可控性挑战

The good news is that Claude is highly steerable with the right prompting. Tell Claude to "avoid Inter and Roboto" or "use atmospheric backgrounds instead of solid colors," and results improve immediately. This sensitivity to guidance is a feature; it means Claude can adapt to different design contexts, constraints, and aesthetic preferences. 

好消息是，Claude在正确的提示下非常可控。告诉Claude“避免使用Inter和Roboto”或“使用气氛背景而不是纯色”，结果会立即改善。这种对指导的敏感性是一种特性；这意味着Claude可以适应不同的设计上下文、约束和美学偏好。

But this creates a practical challenge: the more specialized the task, the more context you need to provide. For frontend design, effective guidance spans typography principles, color theory, animation patterns, and background treatment. You need to specify which defaults to avoid and which alternatives to prefer across multiple dimensions.

但这带来了一个实际挑战：任务越专业，您需要提供的上下文就越多。对于前端设计，有效的指导涵盖了排版原则、色彩理论、动画模式和背景处理。您需要指定哪些默认值需要避免，哪些替代方案在多个维度上更受欢迎。

You could pack all this into a system prompt, but then every request–debugging Python, analyzing data, writing emails–carries frontend design context. The question becomes: how do you provide Claude with domain-specif...