本文へ移動
cccskills
無料GitHub で公開

aesthetic

Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating design documentation. Includes workflows for capturing and analyzing inspiration screenshots with chrome-devtools and ai-multimodal, iterative design image generation until aesthetic standards are met, and comprehensive design system guidance covering BEAUTIFUL (aesthetic principles), RIGHT (functionality/accessibility), SATISFYING (micro-interactions), and PEAK (storytelling) stages. Integrates with chrome-devtools, ai-multimodal, media-processing, ui-styling, and web-frameworks skills.

インストール方法を見る

含まれるファイル(7)

  • SKILL.md6.2 KB
  • assets/design-guideline-template.md3.4 KB
  • assets/design-story-template.md2.6 KB
  • references/design-principles.md2.3 KB
  • references/design-resources.md2.2 KB
  • references/micro-interactions.md1.7 KB
  • references/storytelling-design.md1.6 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Aesthetic

Create aesthetically beautiful interfaces by following proven design principles and systematic workflows.

When to Use This Skill

Use when:

  • Building or designing user interfaces
  • Analyzing designs from inspiration websites (Dribbble, Mobbin, Behance)
  • Generating design images and evaluating aesthetic quality
  • Implementing visual hierarchy, typography, color theory
  • Adding micro-interactions and animations
  • Creating design documentation and style guides
  • Need guidance on accessibility and design systems

Core Framework: Four-Stage Approach

1. BEAUTIFUL: Understanding Aesthetics

Study existing designs, identify patterns, extract principles. AI lacks aesthetic sense—standards must come from analyzing high-quality examples and aligning with market tastes.

Reference: references/design-principles.md - Visual hierarchy, typography, color theory, white space principles.

2. RIGHT: Ensuring Functionality

Beautiful designs lacking usability are worthless. Study design systems, component architecture, accessibility requirements.

Reference: references/design-principles.md - Design systems, component libraries, WCAG accessibility standards.

3. SATISFYING: Micro-Interactions

Incorporate subtle animations with appropriate timing (150-300ms), easing curves (ease-out for entry, ease-in for exit), sequential delays.

Reference: references/micro-interactions.md - Duration guidelines, easing curves, performance optimization.

4. PEAK: Storytelling Through Design

Elevate with narrative elements—parallax effects, particle systems, thematic consistency. Use restraint: "too much of anything isn't good."

Reference: references/storytelling-design.md - Narrative elements, scroll-based storytelling, interactive techniques.

Workflows

Workflow 1: Capture & Analyze Inspiration

Purpose: Extract design guidelines from inspiration websites.

Steps:

  1. Browse inspiration sites (Dribbble, Mobbin, Behance, Awwwards)
  2. Use chrome-devtools skill to capture full-screen screenshots (not full page)
  3. Use ai-multimodal skill to analyze screenshots and extract:
    • Design style (Minimalism, Glassmorphism, Neo-brutalism, etc.)
    • Layout structure & grid systems
    • Typography system & hierarchy IMPORTANT: Try to predict the font name (Google Fonts) and font size in the given screenshot, don't just use Inter or Poppins.
    • Color palette with hex codes
    • Visual hierarchy techniques
    • Component patterns & styling
    • Micro-interactions
    • Accessibility considerations
    • Overall aesthetic quality rating (1-10)
  4. Document findings in project design guidelines using templates

Workflow 2: Generate & Iterate Design Images

Purpose: Create aesthetically pleasing design images through iteration.

Steps:

  1. Define design prompt with: style, colors, typography, audience, animation specs
  2. Use ai-multimodal skill to generate design images with Gemini API
  3. Use ai-multimodal skill to analyze output images and evaluate aesthetic quality
  4. If score < 7/10 or fails professional standards:
    • Identify specific weaknesses (color, typography, layout, spacing, hierarchy)
    • Refine prompt with improvements
    • Regenerate with ai-multimodal or use media-processing skill to modify outputs (resize, crop, filters, composition)
  5. Repeat until aesthetic standards met (score ≥ 7/10)
  6. Document final design decisions using templates

Design Documentation

Create Design Guidelines

Use assets/design-guideline-template.md to document:

  • Color patterns & psychology
  • Typography system & hierarchy
  • Layout principles & spacing
  • Component styling standards
  • Accessibility considerations
  • Design highlights & rationale

Save in project ./docs/design-guideline.md.

Create Design Story

Use assets/design-story-template.md to document:

  • Narrative elements & themes
  • Emotional journey
  • User journey & peak moments
  • Design decision rationale

Save in project ./docs/design-story.md.

Resources & Integration

Related Skills

  • ai-multimodal: Analyze documents, screenshots & videos, generate design images, edit generated images, evaluate aesthetic quality using Gemini API
  • chrome-devtools: Capture full-screen screenshots from inspiration websites, navigate between pages, interact with elements, read console logs & network requests
  • media-processing: Refine generated images (FFmpeg for video, ImageMagick for images)
  • ui-styling: Implement designs with shadcn/ui components + Tailwind CSS utility-first styling
  • web-frameworks: Build with Next.js (App Router, Server Components, SSR/SSG)

Reference Documentation

References: references/design-resources.md - Inspiration platforms, design systems, AI tools, MCP integrations, development strategies.

Key Principles

  1. Aesthetic standards come from humans, not AI—study quality examples
  2. Iterate based on analysis—never settle for first output
  3. Balance beauty with functionality and accessibility
  4. Document decisions for consistency across development
  5. Use progressive disclosure in design—reveal complexity gradually
  6. Always evaluate aesthetic quality objectively (score ≥ 7/10)

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

使用 AACT (Aggregate Analysis of ClinicalTrials.gov) PostgreSQL 数据仓库进行批量、历史、聚合性临床试验数据挖掘。Use this skill when the user requests bulk SQL analysis over the full clinical trials data warehouse — historical trial trends, disease landscapes, similar-design matching, or multi-year aggregations across hundreds of thousands of NCT records. 触发场景包括:AACT 查询、临床试验批量分析、PostgreSQL 试验数据、全量 NCT 检索、试验数据挖掘、历史试验分析、clinical trials data warehouse、SQL trials、bulk trial analysis、disease landscape、试验设计相似性匹配、跨年度聚合、sponsor/phase/country 多维统计。**与 clinical-trials-v2 差异**:本 skill 走批量 SQL · 离线大数据(PostgreSQL);v2 走实时 API · 单查询。两者互补:单条 NCT 实时状态用 v2,百万级历史挖掘用本 skill。支持云端公共 PostgreSQL(aact-db.ctti-clinicaltrials.org · 零部署)和每日 dump 本地还原(高性能 · 离线)两种连接方式,自动检测优先用本地。跨平台(macOS/Linux/Windows)参数化 SQL 防注入,read-only 强制保护。

日本語の概要は準備中です。原文の説明を表示しています。

EthanYoQ/Skill-hub112026年10月5日 更新

使用 AACT (Aggregate Analysis of ClinicalTrials.gov) PostgreSQL 数据库进行大批量临床试验历史分析与数据挖掘。触发场景包括:AACT 查询、临床试验批量分析、PostgreSQL 试验数据、全量 NCT 检索、试验数据挖掘、clinical trials data warehouse、疾病领域全景分析、设计相似试验匹配、跨年度试验趋势聚合。本 skill 通过 SQL 接口处理百万级试验记录,支持云端公共 PostgreSQL 服务(aact-db.ctti-clinicaltrials.org)和每日 dump 本地还原两种连接方式,自动检测并优先使用本地高性能模式。

日本語の概要は準備中です。原文の説明を表示しています。

EthanYoQ/Skill-hub112026年10月5日 更新

Use when work produces a deliverable, factual claim, dataset, code change, decision, publication, deployment, automation, or irreversible action whose failure would matter; when the user asks for a quality gate, acceptance criteria, QA, completeness, validation, audit, evidence, preflight, release readiness, or a definition of done; or before claiming completion on medium- or high-risk work. Automatically decide whether a formal gate is warranted, derive task-specific pass/fail criteria, gather evidence, and block unsupported completion. Make sure to use this skill even when the user does not say "quality gate" if consequential work needs acceptance criteria or completion evidence. Skip formal gating for trivial, reversible, low-impact requests.

日本語の概要は準備中です。原文の説明を表示しています。

EthanYoQ/Skill-hub112026年10月5日 更新

Create a changeset file in .changeset/ that describes a user-facing change for the release notes

日本語の概要は準備中です。原文の説明を表示しています。

EthanYoQ/Skill-hub112026年10月5日 更新

Add a new competitor to the AI Visibility Tool Directory — researches the tool, generates data, takes a screenshot, and inserts into the codebase

日本語の概要は準備中です。原文の説明を表示しています。

EthanYoQ/Skill-hub112026年10月5日 更新

add-lang

無料

Add tree-sitter language support to codegraph end-to-end — wire the grammar + extractor, write tests, then benchmark extraction quality and retrieval value on 3 popular real-world repos. Use when the user runs /add-lang <language> or asks to add/support a new language (e.g. Lua, Elixir, Zig, OCaml) in codegraph.

日本語の概要は準備中です。原文の説明を表示しています。

EthanYoQ/Skill-hub112026年10月5日 更新

EthanYoQ のスキルをすべて見る

このスキルの問題を報告する