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scan-design-system扫描设计系统

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

269

周安装

11

GitHub Stars

6

下载量

86
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:scan-design-system(扫描设计系统)
来源仓库:https://github.com/duc01226/easyplatform
仓库路径:skills/scan-design-system
安装命令:
npx skills add https://github.com/duc01226/easyplatform --skill scan-design-system
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/duc01226/easyplatform --skill scan-design-system

简介

scan-design-system 用于辅助界面设计、视觉规范和交互体验优化。

  • 适合整理页面结构、生成 UI 方案或检查视觉一致性。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 需结合品牌和设计系统,并通过截图或预览验证实际效果。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.

Prerequisites: MUST ATTENTION READ before executing:

Scan & Update Reference Doc — Surgical updates only, never full rewrite. 1. Read existing doc first — understand current structure and manual annotations 2. Detect mode: Placeholder (only headings, no content) → Init mode. Has content → Sync mode. 3. Scan codebase for current state (grep/glob for patterns, counts, file paths) 4. Diff findings vs doc content — identify stale sections only 5. Update ONLY sections where code diverged from doc. Preserve manual annotations. 6. Update metadata (date, counts, version) in frontmatter or header 7. NEVER rewrite entire doc. NEVER remove sections without evidence they're obsolete.
Output Quality — Token efficiency without sacrificing quality. 1. No inventories/counts — AI can grep | wc -l. Counts go stale instantly 2. No directory trees — AI can glob/ls. Use 1-line path conventions 3. No TOCs — AI reads linearly. TOC wastes tokens 4. No examples that repeat what rules say — one example only if non-obvious 5. Lead with answer, not reasoning. Skip filler words and preamble 6. Sacrifice grammar for concision in reports 7. Unresolved questions at end, if any

Quick Summary

Goal: Scan project for design system artifacts and populate docs/project-reference/design-system/README.md with an overview of the design system, app-to-documentation mapping, design token inventory, and component catalog. (content auto-injected by hook — check for [Injected:...] header before reading)

Workflow:

  1. Read — Load current target doc, detect init vs sync mode
  2. Scan — Discover design system structure via parallel sub-agents
  3. Report — Write findings to external report file
  4. Generate — Build/update reference doc from report
  5. Verify — Validate component paths and token files exist

Key Rules:

  • Generic — works with any design system approach (custom, Storybook, Figma tokens, etc.)
  • Discover design system organization dynamically from file system
  • Map relationships between apps and their design documentation
  • Every reference must point to real files found in this project

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Scan Design System

Phase 0: Read & Assess

  1. Read docs/project-reference/design-system/README.md
  2. Detect mode: init (placeholder) or sync (populated)
  3. If sync: extract existing sections and note what's already well-documented
  4. Also check for app-specific design docs in the same directory

Phase 1: Plan Scan Strategy

Discover design system locations:

  • docs/project-reference/design-system/ directory and its contents
  • Storybook config (.storybook/, *.stories.ts)
  • Design token files (JSON, CSS, SCSS variables)
  • Component library directories (shared components, UI kit)
  • Figma token exports or style dictionary config

Use docs/project-config.json designSystem section if available for:

  • docsPath — where design docs live
  • appMappings — which apps have which design docs

Phase 2: Execute Scan (Parallel Sub-Agents)

Launch 2 Explore agents in parallel:

Agent 1: Design System Structure

  • Glob for docs/project-reference/design-system/** to map all design docs
  • Find design token files (CSS custom properties, SCSS variables, JSON tokens)
  • Discover Storybook stories (*.stories.ts, *.stories.tsx, *.stories.mdx)
  • Find component library entry points (index files, barrel exports)
  • Look for style dictionary or token transformation configs
  • Map app-to-design-doc relationships (which app uses which design doc)

Agent 2: Component Inventory

  • Grep for reusable UI components (shared component directories, exported components)
  • Find component categories (layout, forms, feedback, navigation, data display)
  • Discover component variants (size, color, state variations)
  • Count components per category
  • Find icon sets or asset libraries
  • Look for accessibility patterns in components (ARIA roles, keyboard support)
  • Find documentation for individual components (JSDoc, README, Storybook docs)

Write all findings to: plans/reports/scan-design-system-{YYMMDD}-{HHMM}-report.md

Phase 3: Analyze & Generate

Read the report. Build these sections:

Target Sections

SectionContent
Design System OverviewHigh-level description of the design system approach, tools, and organization
App Documentation MapTable: App name, Design doc path, Token source, Component library
Design TokensToken categories (color, typography, spacing, elevation), file locations, naming convention
Component InventoryTable: Component name, Category, Variants, Path, Has docs?
Icon & Asset LibraryIcon set source, asset directory paths, usage patterns
StorybookStorybook setup (if exists), story organization, how to add new stories
Usage GuidelinesHow to consume tokens and components in application code

Content Rules

  • Use tables for component inventory and token listings
  • Include actual token values (colors, spacing scale) where practical
  • Show component usage examples from real application code
  • Map each app to its specific design documentation file

Phase 4: Write & Verify

  1. Write updated doc with <!-- Last scanned: YYYY-MM-DD --> at top
  2. Verify: 3 design doc paths exist on filesystem
  3. Verify: component paths in inventory match actual files
  4. Report: sections updated, component count, token categories documented

Closing Reminders

  • IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
  • IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
  • IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
  • IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
  • IMPORTANT MUST ATTENTION read existing doc first, scan codebase, diff, surgical update only. Never rewrite entire doc.
  • IMPORTANT MUST ATTENTION follow output quality rules: no counts/trees/TOCs, rules > descriptions, 1 example per pattern, primacy-recency anchoring.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.03%
按下载量换算33

Claude

31.47%
按下载量换算27

Cursor

17%
按下载量换算15

Gemini CLI

8.89%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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