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Agent Skill · 研究检索

scan-design-system(扫描设计系统)

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。

scan-design-system 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 66,030。

总安装 269周安装 11GitHub Stars 6下载 86核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/scan-design-system

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/duc01226/easyplatform --skill scan-design-syst…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

scan-design-system 怎么安装?

在终端执行 npx skills add https://github.com/duc01226/easyplatform --skill scan-design-system。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

scan-design-system 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

scan-design-system 需要什么权限?

权限级别是只读。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。

scan-design-system 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

scan-design-system 用的人多吗?

公开数据是累计安装 269 次,近一周安装 11 次,下载 86 次,GitHub 6 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

scan-design-system 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
scan-design-system

扫描设计系统 · 本页

2696只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

[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.

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。目前只有一个公开来源,建议同时核对源仓库。

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