detecting-data-anomalies
byforyourhealth111-pixel· 59 skills
Investigate outliers, rare events, spikes, and suspicious records in datasets. Use as an explicit anomaly-analysis helper when you want concrete anomaly-detection workflow guidance, not generic data validation or end-to-end ML ownership.
How to install detecting-data-anomalies?
foryourhealth111-pixel/vibe-skills/detecting-data-anomalies
$npx -y skills add foryourhealth111-pixel/vibe-skills --skill detecting-data-anomaliesInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/foryourhealth111-pixel/vibe-skills" --skill "foryourhealth111-pixel/vibe-skills/detecting-data-anomalies"` 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/foryourhealth111-pixel/vibe-skills" that are relevant to the current task. Run `npx skills add "https://github.com/foryourhealth111-pixel/vibe-skills"` and select the relevant skills, then follow their instructions.
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