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google-labs-code/design.md

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DESIGN.md是一套专为AI编程代理设计的视觉标识描述规范,它通过提供持久且结构化的设计系统上下文,精准解决了大语言模型在自动化生成代码时因缺乏统一设计规范而导致的界面风格漂移与重复沟通痛点。该项目相较于传统工具的核心优势在于其标准化架构能够彻底消除多智能体协作中的认知碎片化,凭借内置的层级化索引机制实现设计规则的长期记忆而非短暂会话存储,同时依托原生Markdown语法实现了无需额外解析器的无缝工程集成,从而在易用性与稳定性上显著优于依赖私有格式的竞品方案。在底层运作逻辑上,该规范犹如为编程代理配备了一本可随时查阅的“数字化建筑蓝图”,它将抽象的色彩、字体与组件规范转化为带标题层级的树…

Open github.comgoogle-labs-code/design.md

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Awesome Claude Design

Section: External catalogs · official DESIGN.md spec from Google Labs Code, Apache 2.0; see docs/spec.md

ActiveScore 68

Awesome Harness Engineering

Section: Context Delivery & Compaction · Google Labs' specification for describing visual identity systems to coding agents: machine-readable design tokens (YAML front matter) combined with human-readable design rationale (markdown prose) give agents a persistent, structured understanding of design constraints without requiring custom…

FreshScore 88

Awesome Open Source AI

Section: 4. Agentic AI & Multi-Agent Systems · A format specification for describing visual identity to coding agents, combining YAML tokens and markdown prose to give agents a structured understanding of design systems. Apache 2.0 licensed.

FreshScore 89

目录

Section: 大语言对话模型及数据 · DESIGN.md是一套专为AI编程代理设计的视觉标识描述规范,它通过提供持久且结构化的设计系统上下文,精准解决了大语言模型在自动化生成代码时因缺乏统一设计规范而导致的界面风格漂移与重复沟通痛点。该项目相较于传统工具的核心优势在于其标准化架构能够彻底消除多智能体协作中的认知碎片化,凭借内置的层级化索引机制实现设计规则的长期记忆而非短暂会话存储,同时依托原生Markdown语法实现了无需额外解析器的无缝工程集成,从而在易用性与稳定性上显著优于依赖私有格式的竞品方案。在底层运作逻辑上,该规范犹如为编程代理配备了一本可随时查阅的“数字化建筑蓝图”,它将抽象的色彩、字体与组件规范转化为带标题层级的树…

FreshScore 81

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Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs

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