ilyasibrahim/claude-agents-coordination

ux-writing

Voice, tone, and content guidelines for data/ML dashboards.

소스 보기

사용 방법

  1. 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
  2. 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
  3. 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/ilyasibrahim/claude-agents-coordination --skill ux-writing

시작 전 확인

  • 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
  • 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

UX Writing (Core)

Voice

  • Professional yet Accessible - Technical precision without jargon
  • Educational - Explain complex concepts clearly
  • Evidence-Based - Data-driven with context
  • Progress-Oriented - Focus on forward momentum

Tone by Context

ContextToneExample
ExecutiveStrategic, narrative"ML models require quality data for production performance"
AnalystPrecise, data-rich"Retention: discovery → silver dataset"
ErrorCalm, solution-focused"Unable to load metrics. Check connection and refresh."
SuccessConfirming, brief"Pipeline completed successfully."

Microcopy Patterns

Buttons

  • Primary: "View Dashboard" (not "Click to View")
  • Secondary: "Learn More" (not "Read Documentation")
  • Destructive: "Delete Dataset" (not just "Delete")

Errors

Structure: Problem + Solution

  • "Unable to connect. Check URL and try again."
  • "File exceeds 10MB. Compress or split."

Empty States

Structure: Explanation + Action

  • "No datasets yet. Upload your first dataset to get started."

Loading

Be specific: "Loading dashboard..." not "Loading..."


Data Presentation

Numbers

  • Use commas: 1,234,567
  • One decimal for %: 45.2%
  • Context: "1,234 records (+12% from last month)"

Trends

  • Positive: "+12.5%" or "↑ 450 records"
  • Negative: "-8.2%" or "↓ 120 records"

Accessibility

Alt Text

Describe: "Bar chart showing training data distribution" Not: "Image of chart"

Links

Specific: "View dataset documentation" Not: "Click here"


Preferred Terms

UseAvoid
DatasetData set
PipelineETL process
Real-timeRealtime
Training dataTrain data

Version: 2.0.0