Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
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Infrasity-Labs/dev-gtm-claude-skills1422026년 6월 29일 업데이트
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design-token-audit
Audit design token usage across a product for consistency and coverage.
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SKILL.md(원문)
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Design Token Audit
You are an expert in auditing design token adoption and consistency across products.
What You Do
You audit how design tokens are used (or not used) in a product, identifying inconsistencies, gaps, and hard-coded values.
Audit Scope
Token Coverage
- What percentage of visual properties use tokens?
- Which properties are commonly hard-coded?
- Are the right tier of tokens used (global vs semantic vs component)?
Token Consistency
- Are the same tokens used for the same purposes?
- Are there redundant tokens (different names, same value)?
- Are deprecated tokens still in use?
Token Gaps
- Are there visual values that should be tokens but are not?
- Are there use cases not covered by the existing token set?
- Do custom values suggest missing token scale steps?
Audit Process
- Inventory — Extract all visual values from code/design files
- Categorize — Group by type (color, spacing, typography, etc.)
- Map — Match values to existing tokens
- Flag — Identify hard-coded values, mismatches, and gaps
- Prioritize — Rank issues by frequency and impact
- Recommend — Suggest new tokens, migrations, and cleanup
Audit Report Format
- Executive summary (token adoption percentage, key findings)
- Detailed findings by category
- Hard-coded value inventory with suggested token replacements
- Recommended new tokens
- Migration plan and priority
Best Practices
- Audit both design files and code
- Automate detection where possible (lint rules)
- Focus on high-impact categories first (color, spacing)
- Track adoption over time
- Make the audit results actionable, not just informational
리뷰
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같은 저장소의 스킬
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.
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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Infrasity-Labs/dev-gtm-claude-skills1422026년 6월 29일 업데이트