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Voice, tone, and content guidelines for data/ML dashboards. Covers microcopy, error messages, success states, and data presentation language. Auto-invokes on copy, messaging, content, labels, error messages keywords.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | ux-writing |
| description | Voice, tone, and content guidelines for data/ML dashboards. Covers microcopy, error messages, success states, and data presentation language. Auto-invokes on copy, messaging, content, labels, error messages keywords. |
| allowed-tools | Read |
| Context | Tone | Example |
|---|---|---|
| Executive | Strategic, narrative | "ML models require quality data for production performance" |
| Analyst | Precise, data-rich | "Retention: discovery → silver dataset" |
| Error | Calm, solution-focused | "Unable to load metrics. Check connection and refresh." |
| Success | Confirming, brief | "Pipeline completed successfully." |
Structure: Problem + Solution
Structure: Explanation + Action
Be specific: "Loading dashboard..." not "Loading..."
Describe: "Bar chart showing training data distribution" Not: "Image of chart"
Specific: "View dataset documentation" Not: "Click here"
| Use | Avoid |
|---|---|
| Dataset | Data set |
| Pipeline | ETL process |
| Real-time | Realtime |
| Training data | Train data |
Version: 2.0.0
