Agent skill · Code Review & Quality

bio-gatk-variant-calling

Variant calling with GATK HaplotypeCaller following best practices. Covers germline SNP/indel calling, GVCF workflow for cohorts, joint genotyping, and variant quality score recalibration (VQSR). Use when calling variants with GATK HaplotypeCaller.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gatk-variant-calling --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/analysis/gatk-variant-calling/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# GATK Variant Calling GATK HaplotypeCaller is the gold standard for germline variant calling. This skill covers the GATK Best Practices workflow. ## Prerequisites BAM files should be preprocessed: 1. Mark duplicates 2. Base quality score recalibration (BQSR) - optional but recommended ## Single-Sample Calling ### Basic HaplotypeCaller ```bash gatk HaplotypeCaller \ -R reference.fa \ -I sample.bam \ -O sample.vcf.gz ``` ### With Standard Annotations ```bash gatk HaplotypeCaller \ -R reference.fa \ -I sample.bam \ -O sample.vcf.gz \ -A Coverage \ -A QualByDepth \ -A FisherStrand \ -A StrandOddsRatio \ -A MappingQualityRankSumTest \ -A ReadPosRankSumTest ``` ### Target Intervals (Exome/Panel) ```bash gatk HaplotypeCaller \ -R reference.fa \ -I sample.bam \ -L targets.interval_list \ -O sample.vcf.gz ``` ### Adjust Calling Confidence ```bash gatk HaplotypeCaller \ -R reference.fa \ -I sample.bam \ -O sample.vcf.gz \ --standard-min-confidence-threshold-for-calling 20 ``` ## GVCF Workflow (Recommended for Cohorts) The GVCF workflow enables joint genotyping across samples for better variant calls. ### Step 1: Generate GVCFs per Sample ```bash gatk HaplotypeCaller \ -R reference.fa \ -I s

What's inside
Steps it walks through
  1. Prerequisites
  2. Single-Sample Calling
  3. Basic HaplotypeCaller
  4. With Standard Annotations
  5. Target Intervals (Exome/Panel)
  6. Adjust Calling Confidence
  7. GVCF Workflow (Recommended for Cohorts)
  8. Step 1: Generate GVCFs per Sample
  9. Step 2: Combine GVCFs (GenomicsDBImport)
  10. Alternative: CombineGVCFs (smaller cohorts)
  11. Step 3: Joint Genotyping
  12. Variant Quality Score Recalibration (VQSR)
  13. SNP Recalibration
  14. Indel Recalibration
Ships with 1 file
  • metadata.json
Commands it runs
gatk HaplotypeCaller \
Create sample map file
sample1    /path/to/sample1.g.vcf.gz
sample2    /path/to/sample2.g.vcf.gz
gatk GenomicsDBImport \
gatk CombineGVCFs \
From GenomicsDB
gatk GenotypeGVCFs \
From combined GVCF
Build SNP model
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About this skill
What does the bio-gatk-variant-calling skill do?

Variant calling with GATK HaplotypeCaller following best practices. Covers germline SNP/indel calling, GVCF workflow for cohorts, joint genotyping, and variant quality score recalibration (VQSR). Use when calling variants with GATK HaplotypeCaller.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gatk-variant-calling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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