Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
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。
OneWave-AI/claude-skills3402026年10月2日 更新
無料GitHub で公開
design-system-generator
Create design systems with tokens, components, and documentation. Use when building design systems, creating component libraries, or establishing design tokens.
含まれるファイル（4）
- SKILL.md1.5 KB
- references/components.md4.2 KB
- references/config-and-utilities.md970 B
- references/design-tokens.md3.5 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。
Design System Generator
Generate a token-driven design system: tokens, base components, build config, and documentation.
Contents
references/design-tokens.md— color, typography, spacing, shadow, and radius token files plus CSS variable setup.references/components.md— Button, Input, Card implementations and the component barrel index.references/config-and-utilities.md— Tailwind config and thecnclass-merge helper.
Workflow
- Define design tokens. Create
tokens/with colors, typography, spacing, and effects (shadows, radii) perreferences/design-tokens.md. Replace the reference values with the project brand palette. - Add CSS variables. Set up
:rootand.darkcustom properties inglobals.cssusing the variable block inreferences/design-tokens.md. - Wire the build. Add the
cnhelper and extend the Tailwind theme from the token files followingreferences/config-and-utilities.md. - Build base components. Implement Button, Input, and Card from
references/components.md, then extend the set as the product requires. - Export a barrel. Re-export every shipped component from
components/ui/index.ts(seereferences/components.md). - Document usage and variants. For each component, note its variants, sizes, props, and accessibility behavior so consumers apply it consistently.
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
Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
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。
OneWave-AI/claude-skills3402026年10月2日 更新
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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。
OneWave-AI/claude-skills3402026年10月2日 更新
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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。
OneWave-AI/claude-skills3402026年10月2日 更新
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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。
OneWave-AI/claude-skills3402026年10月2日 更新
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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。
OneWave-AI/claude-skills3402026年10月2日 更新