outlier-detection
byopensensenova· 59 skills
执行全面的异常值检测与数据质量评估，利用 IQR 方法识别异常值并结合偏度、峰度分析数据分布特征，适用于非正态分布数据的预处理阶段。
How to install outlier-detection?
opensensenova/sensenova-skills/outlier-detection
$npx -y skills add opensensenova/sensenova-skills --skill outlier-detectionInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/opensensenova/sensenova-skills" --skill "opensensenova/sensenova-skills/outlier-detection"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/opensensenova/sensenova-skills" that are relevant to the current task. Run `npx skills add "https://github.com/opensensenova/sensenova-skills"` and select the relevant skills, then follow their instructions.
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