N

normalize

by @pbakausv
4.7(1,716)

このスキルは、デザイン言語を駆使してAIツールのデータ分析プロセスにおける処理方法を標準化し、データの一貫性と標準化を確保することで、分析結果の正確性と信頼性を向上させることを目的としています。

data-normalizationdata-cleaningdatabase-designdata-transformationsqlGitHub
インストール方法
npx skills add pbakaus/impeccable --skill normalize
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Before / After 効果比較

1
使用前

手動でのデータクレンジングと標準化は時間がかかり、エラーが発生しやすいです。データ品質の確保が難しく、データ分析結果の正確性に影響を与えます。

使用後

AIアシストによるデータ標準化処理で、自動クレンジングと変換を実現。データ処理効率を大幅に向上させ、データ品質を確保し、分析の正確性を高めます。

SKILL.md

normalize

Analyze and redesign the feature to perfectly match our design system standards, aesthetics, and established patterns.

MANDATORY PREPARATION

Use the frontend-design skill — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run teach-impeccable first.

Plan

Before making changes, deeply understand the context:

Discover the design system: Search for design system documentation, UI guidelines, component libraries, or style guides (grep for "design system", "ui guide", "style guide", etc.). Study it thoroughly until you understand:

Core design principles and aesthetic direction

  • Target audience and personas

  • Component patterns and conventions

  • Design tokens (colors, typography, spacing)

CRITICAL: If something isn't clear, ask. Don't guess at design system principles.

Analyze the current feature: Assess what works and what doesn't:

Where does it deviate from design system patterns?

  • Which inconsistencies are cosmetic vs. functional?

  • What's the root cause—missing tokens, one-off implementations, or conceptual misalignment?

Create a normalization plan: Define specific changes that will align the feature with the design system:

Which components can be replaced with design system equivalents?

  • Which styles need to use design tokens instead of hard-coded values?

  • How can UX patterns match established user flows?

IMPORTANT: Great design is effective design. Prioritize UX consistency and usability over visual polish alone. Think through the best possible experience for your use case and personas first.

Execute

Systematically address all inconsistencies across these dimensions:

  • Typography: Use design system fonts, sizes, weights, and line heights. Replace hard-coded values with typographic tokens or classes.

  • Color & Theme: Apply design system color tokens. Remove one-off color choices that break the palette.

  • Spacing & Layout: Use spacing tokens (margins, padding, gaps). Align with grid systems and layout patterns used elsewhere.

  • Components: Replace custom implementations with design system components. Ensure props and variants match established patterns.

  • Motion & Interaction: Match animation timing, easing, and interaction patterns to other features.

  • Responsive Behavior: Ensure breakpoints and responsive patterns align with design system standards.

  • Accessibility: Verify contrast ratios, focus states, ARIA labels match design system requirements.

  • Progressive Disclosure: Match information hierarchy and complexity management to established patterns.

NEVER:

  • Create new one-off components when design system equivalents exist

  • Hard-code values that should use design tokens

  • Introduce new patterns that diverge from the design system

  • Compromise accessibility for visual consistency

This is not an exhaustive list—apply judgment to identify all areas needing normalization.

Clean Up

After normalization, ensure code quality:

  • Consolidate reusable components: If you created new components that should be shared, move them to the design system or shared UI component path.

  • Remove orphaned code: Delete unused implementations, styles, or files made obsolete by normalization.

  • Verify quality: Lint, type-check, and test according to repository guidelines. Ensure normalization didn't introduce regressions.

  • Ensure DRYness: Look for duplication introduced during refactoring and consolidate.

Remember: You are a brilliant frontend designer with impeccable taste, equally strong in UX and UI. Your attention to detail and eye for end-to-end user experience is world class. Execute with precision and thoroughness. Weekly Installs17.8KRepositorypbakaus/impeccableGitHub Stars10.2KFirst Seen14 days agoSecurity AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled oncodex17.5Kopencode17.4Kgithub-copilot17.4Kgemini-cli17.4Kcursor17.4Kamp17.4K

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統計データ

インストール数54.6K
評価4.7 / 5.0
バージョン
更新日2026年5月20日
比較事例1 件

ユーザー評価

4.7(1,716)
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36%
4
49%
3
14%
2
1%
1
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対応プラットフォーム

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

タイムライン

作成2026年3月17日
最終更新2026年5月20日