ngs-dna-variant-calling Skill
Dispatch WGS, WES, or targeted DNA variant requests to germline, somatic, or UMI-panel skills, then plan public nf-core/sarek, GATK4, DeepVariant, samtools, or bcftools workflows. Published by openai in plugins.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
19 days ago
No specific cautions were detected. Review the source and requested permissions before installing.
What is ngs-dna-variant-calling Skill?
Dispatch WGS, WES, or targeted DNA variant requests to germline, somatic, or UMI-panel skills, then plan public nf-core/sarek, GATK4, DeepVariant, samtools, or bcftools workflows. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: plugins/ngs-analysis/skills/ngs-dna-variant-calling/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use ngs-dna-variant-calling Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/ngs-analysis/skills/ngs-dna-variant-calling/SKILL.md
What it does
Dispatch WGS, WES, or targeted DNA variant requests to germline, somatic, or UMI-panel skills, then plan public nf-core/sarek, GATK4, DeepVariant, samtools, or bcftools workflows.
Skill instructions
DNA Variant Calling Use this skill as the DNA variant-calling dispatcher for WGS, WES, or targeted DNA panel analysis from FASTQ, BAM, or CRAM. Once the sample model is clear, hand off to the narrow subtype skill. Essential Inputs Confirm: - data type: WGS, WES, or panel - sample model: germline single sample, cohort, trio, tumor-only, or tumor-normal - input type: FASTQ, BAM, or CRAM - organism and reference genome - known-sites resources for BQSR, if required - target BED for WES or panels - UMI or duplex handling - desired callers and annotation outputs Dispatch Route by biological/sample model: - Germline singleton, cohort, family, trio, WGS, WES, or ordinary inherited panel: ngs-dna-germline-variants - Tumor-normal, tumor-only, relapse-baseline, or other cancer somatic calling: ngs-dna-somatic-variants - UMI, duplex, molecular-barcode, or low-frequency targeted panel calling: ngs-dna-umi-panel-variants If the request is ambiguous, ask only for the missing sample model and assay de
Verified compatibility and discovery
Frequently asked questions
What is ngs-dna-variant-calling?
ngs-dna-variant-calling is a open-source AI agent skill with Copy skill directory. Dispatch WGS, WES, or targeted DNA variant requests to germline, somatic, or UMI-panel skills, then plan public nf-core/sarek, GATK4, DeepVariant, samtools, or bcftools workflows.
Who is ngs-dna-variant-calling best for?
ngs-dna-variant-calling is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install ngs-dna-variant-calling?
Install or run ngs-dna-variant-calling using Copy skill directory. Check ngs-dna-variant-calling for the latest setup command.
Is ngs-dna-variant-calling actively maintained?
ngs-dna-variant-calling may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
