Agent Skills
› openai/plugins
› statistical-and-uncertainty-visualization
statistical-and-uncertainty-visualization
GitHub用于设计统计诚实且感知不确定性的可视化图表，涵盖分布、置信区间、缺失值及采样效应，避免分析失真，辅助用户选择能真实反映数据变异性和模型不确定性的图表编码方式。
Trigger Scenarios
需要展示数据分布或不确定性
涉及置信区间或采样效应的可视化
需要诚实展示缺失数据或样本量
Install
npx skills add openai/plugins --skill statistical-and-uncertainty-visualization -g -y
SKILL.md
Frontmatter
{
"name": "statistical-and-uncertainty-visualization",
"description": "Design statistically honest and uncertainty-aware visualizations. Use when the user needs help showing distributions, intervals, confidence, missingness, sampling effects, or analytical rigor in charts and dashboards."
}
Statistical and Uncertainty Visualization
Overview
Use this skill when the risk is analytical distortion rather than rendering difficulty. This skill focuses on distributions, intervals, uncertainty, missingness, aggregation effects, and common statistical storytelling failures.
Default assumption: if a claim depends on variability, estimation, sampling, or model uncertainty, the visualization should show that explicitly.
Working Pattern
- Identify whether the viewer needs exact values, distributions, intervals, or model-derived estimates.
- Choose encodings that show spread, uncertainty, missingness, or sample size honestly.
- Avoid summarizing away the variation that matters to the decision.
- Pair concise explanations with the view when the uncertainty concept is nontrivial.
Output Expectations
- Name the statistical question, not just the chart type.
- Explain why the chosen encoding is more truthful than the tempting alternative.
- Call out when aggregation, smoothing, or interval choice can mislead.
References
- Shared theory:
../../references/foundations/task-abstraction-and-chart-selection.md../../references/foundations/perception-color-and-encoding.md
- Skill references:
./references/distribution-and-summary-choices.md./references/uncertainty-encodings.md./references/experimental-and-analytical-pitfalls.md./references/missingness-and-confidence.md
Representative Prompts
- "What chart should I use to show uncertainty here?"
- "Should this be a histogram, box plot, violin plot, or density plot?"
- "How do I show confidence intervals without misleading people?"
- "This dashboard hides variability. How should I fix it?"
- "Help me visualize missing data and sample size honestly."
Version History
- 11c74d6 Current 2026-07-19 09:30
