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Apply cohort QC threshold reasoning to per-sample variant metrics.
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 | cohort_qc_thresholds |
| title | Cohort QC Thresholds |
| description | Apply cohort QC threshold reasoning to per-sample variant metrics. |
Use this skill when interpreting per-sample cohort QC metrics. Consider call rate, missingness, heterozygosity, sex-chromosome evidence, and outlier status.
Treat thresholds as decision support, not absolute truth. Explain which metrics triggered a flag and what follow-up would confirm it.
Compare scientific variables with units, ranges, and quality caveats.
Inspect dataset structure before analysis or visualization.
Evaluate data quality from observed structure and summary evidence.
Choose visual checks that match the inspected data.
Route dataset questions to structure, analysis, or visualization experts.
Choose a plot that confirms numeric conversion integrity.
