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ilyasibrahim/claude-agents-coordination

ux-writing

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

View source

How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/ilyasibrahim/claude-agents-coordination --skill ux-writing

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

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