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VIS STUDIO

English | 中文

English

VIS STUDIO is an AI-native operating system for brand identity and visual identity system work.

It helps teams move from messy inputs to a reusable brand system that AI can actually follow: strategy, visual direction, identity system, applications, governance, wrappers, adapters, and brand-specific prompts.

This is not just a prompt pack. This is not just a logo workflow. This is not just a UI DESIGN.md.

VIS STUDIO is built for full VIS work.

What VIS STUDIO is

VIS STUDIO turns brand work into a structured production system:

  • discovery and strategic diagnosis
  • reference distillation instead of reference copying
  • concept exploration and territory narrowing
  • identity-system production
  • application-system planning and routing
  • governance handoff and downstream reuse

It packages the result into machine-readable outputs so AI tools can work inside the approved system instead of improvising from vague style language.

Why it exists

Most AI design workflows break in the same place:

  • strategy is missing
  • references are copied instead of distilled
  • application work is treated as an afterthought
  • tools are prompted inconsistently
  • every new asset restarts from zero

VIS STUDIO solves that by making the brand system explicit, reusable, and automation-ready.

What it produces

Core design documents:

  • REFERENCE_STYLE_DISTILLATION.md
  • BRAND_FOUNDATION_DESIGN.md
  • UI_UX_DESIGN.md
  • APPLICATION_DESIGN.md
  • DESIGN_INDEX.md

Machine-readable packaging:

  • brand_pack.json

Reusable downstream wrappers:

  • <brand-slug>-brand-applications
  • <brand-slug>-brand-guidelines

Tool-enablement layer:

  • TOOL_ADAPTER_INDEX.md
  • references/tool-adapters/*.md
  • TOOL_PROMPT_SKELETON_INDEX.md
  • references/tool-prompt-skeletons/*.md

What gets generated automatically

When a project reaches the packaging stage, VIS STUDIO can automatically generate:

  • the final brand_pack.json
  • a brand-specific applications wrapper
  • a brand-specific guidelines wrapper
  • bundled tool adapters inside the generated wrapper
  • brand-specific prompt files inside the generated wrapper

Those brand-specific prompt files currently support:

  • Figma MCP
  • Stitch
  • Pencil
  • Adobe Illustrator
  • Adobe Photoshop
  • Canva
  • Inkscape
  • image-generation models such as Doubao, Kling, Nano Banana, and similar tools

Workflow

  1. brand-discovery-strategy Diagnose the route, check input completeness, ask targeted questions when critical information is missing, and build the strategic base.
  2. visual-concept-exploration Distill references, translate strategy into visual territories, and narrow direction.
  3. identity-system-production Build the identity core and first structured brand payload.
  4. brand-application-system Convert the identity into application families, routes, and production logic.
  5. brand-governance-rollout Finalize governance, packaging, and downstream reuse.

What makes it different

  • It treats VIS as a system, not a one-off design exercise.
  • It separates identity production from application production.
  • It forces reference distillation before visual execution.
  • It supports targeted intake questions when inputs are incomplete.
  • It creates outputs that downstream AI tools can reliably consume.
  • It includes both generic tool skeletons and brand-specific prompt generation.

Methodology inside the system

VIS STUDIO also incorporates useful methods from the local visual-identity-direction skill, including:

  • strategy-to-visual translation
  • creative-brief discipline
  • moodboard rationale
  • logo-brief structure
  • photography direction
  • typography and color reasoning

Public skills

  • brand-discovery-strategy
  • visual-concept-exploration
  • identity-system-production
  • brand-application-system
  • brand-governance-rollout

Support skills

  • brand-style-playbook-selector
  • application-scope-planner
  • application-route-classifier
  • application-template-factory
  • application-mockup-composer
  • brand-application-factory

Repository structure

  • skills/ Public VIS workflow skills
  • support/ Internal support skills for routing, packaging, and production logic
  • references/ Shared architecture notes, adapters, and prompt system references
  • README.md Product overview
  • CHANGELOG.md Release history

Important notes

  • brand_pack.json is the downstream source of truth.
  • Illustrator-heavy work is still treated as manual_vector.
  • Canva-friendly work follows template logic.
  • Photoshop-friendly work follows mockup logic.
  • The wrapper layer is intentionally thin: it applies the approved system, not redefines it.

中文

VIS STUDIO 是一套面向品牌识别与视觉识别系统工作的 AI 原生操作系统。

它的目标,是把零散、模糊、依赖设计师个人脑内判断的品牌项目,转成 AI 也能稳定执行的结构化系统:从策略、方向、识别系统、应用扩展、治理交付,到 wrapper、adapter 和品牌专属 prompt,全部纳入同一条生产链。

它不是普通的 prompt 包。 它不是单独的 logo 工作流。 它也不只是一个面向 UI 的 DESIGN.md 套件。

VIS STUDIO 面向的是完整 VIS 工作。

VIS STUDIO 是什么

VIS STUDIO 把品牌工作变成一套可执行系统:

  • discovery 与策略诊断
  • 参考风格提炼,而不是照抄参考
  • 概念探索与方向收敛
  • 识别系统生产
  • 应用系统规划与路由
  • 治理交接与后续复用

它会把结果封装成机器可读输出,让 AI 工具不再依赖模糊的审美描述,而是依据已批准的品牌系统工作。

为什么要做它

大多数 AI 设计流程的问题都出在同几个地方:

  • 没有策略基础
  • 参考没有提炼,只有拼贴模仿
  • application 被当成附属工作
  • 不同工具的调用方式不统一
  • 每做一个新物料都像重新开局

VIS STUDIO 的作用,就是把品牌系统显式化、可复用化、自动化。

它会产出什么

核心设计文件:

  • REFERENCE_STYLE_DISTILLATION.md
  • BRAND_FOUNDATION_DESIGN.md
  • UI_UX_DESIGN.md
  • APPLICATION_DESIGN.md
  • DESIGN_INDEX.md

机器可读打包层:

  • brand_pack.json

可复用下游 wrapper:

  • <brand-slug>-brand-applications
  • <brand-slug>-brand-guidelines

工具协同层:

  • TOOL_ADAPTER_INDEX.md
  • references/tool-adapters/*.md
  • TOOL_PROMPT_SKELETON_INDEX.md
  • references/tool-prompt-skeletons/*.md

哪些内容会自动生成

当项目走到 packaging 阶段,VIS STUDIO 可以自动生成:

  • 最终 brand_pack.json
  • 品牌专属 applications wrapper
  • 品牌专属 guidelines wrapper
  • 每个 wrapper 内自带的一套 tool adapters
  • 每个 wrapper 内自带的一套品牌专属 prompt 文件

这些品牌专属 prompt 目前支持:

  • Figma MCP
  • Stitch
  • Pencil
  • Adobe Illustrator
  • Adobe Photoshop
  • Canva
  • Inkscape
  • 文生图模型,如豆包、可灵、Nano Banana 及类似工具

工作流

  1. brand-discovery-strategy 先判断项目路径,检查输入是否完整;如果关键信息缺失,就先追问,再建立策略基础。
  2. visual-concept-exploration 提炼参考风格,把策略翻译成视觉方向,并收敛方案。
  3. identity-system-production 构建识别系统核心,并产出第一版结构化品牌数据。
  4. brand-application-system 把识别系统扩展成应用家族、生产路线和规模化逻辑。
  5. brand-governance-rollout 完成治理、打包和后续复用层。

它和普通品牌技能的区别

  • 它把 VIS 当成系统,而不是一次性设计任务。
  • 它明确区分 identity production 和 application production。
  • 它要求先做 reference distillation,再做视觉执行。
  • 它支持缺信息时的 targeted intake questions。
  • 它会产出 AI 工具可以稳定消费的结构化结果。
  • 它同时提供通用 skeleton 和品牌专属 prompt 自动生成。

系统内部的方法论

VIS STUDIO 同时吸收了本地 visual-identity-direction skill 中有价值的方法,包括:

  • strategy-to-visual translation
  • creative brief discipline
  • moodboard rationale
  • logo brief structure
  • photography direction
  • typography and color reasoning

公开技能

  • brand-discovery-strategy
  • visual-concept-exploration
  • identity-system-production
  • brand-application-system
  • brand-governance-rollout

支持技能

  • brand-style-playbook-selector
  • application-scope-planner
  • application-route-classifier
  • application-template-factory
  • application-mockup-composer
  • brand-application-factory

仓库结构

  • skills/ 公开 VIS 工作流技能
  • support/ 内部 routing、packaging、production support 技能
  • references/ 共享架构说明、adapter 和 prompt 系统参考
  • README.md 产品化总览
  • CHANGELOG.md 发布历史

重要说明

  • brand_pack.json 是后续自动化的事实来源。
  • Illustrator 重型工作仍然归为 manual_vector。
  • 适合 Canva 的内容走模板路线。
  • 适合 Photoshop 的内容走样机路线。
  • wrapper 层刻意保持轻量,它负责应用已批准系统,而不是重新定义系统。

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