ngs-dna-umi-panel-variants Skill
Run or plan targeted DNA panel variant workflows that use UMIs, duplex consensus reads, molecular barcodes, low-frequency calling, target coverage, and panel-specific QC. Published by openai in plugins.
Decision snapshot
Is this a fit?
Data analysis, Research, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
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Copy skill directory
19 days ago
No specific cautions were detected. Review the source and requested permissions before installing.
What is ngs-dna-umi-panel-variants Skill?
Run or plan targeted DNA panel variant workflows that use UMIs, duplex consensus reads, molecular barcodes, low-frequency calling, target coverage, and panel-specific QC. 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
- Research
- Data analysis use cases
- Research use cases
Declared skill metadata
- Source file: plugins/ngs-analysis/skills/ngs-dna-umi-panel-variants/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-umi-panel-variants Skill
- Use it for data analysis.
- Use it for research.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/ngs-analysis/skills/ngs-dna-umi-panel-variants/SKILL.md
What it does
Run or plan targeted DNA panel variant workflows that use UMIs, duplex consensus reads, molecular barcodes, low-frequency calling, target coverage, and panel-specific QC.
Skill instructions
UMI Panel DNA Variants Use this skill for targeted DNA panels where molecular barcodes, UMIs, duplex consensus, or low-frequency allele detection are central to the analysis. If the panel is ordinary germline calling without molecular consensus, use ngs-dna-germline-variants. Essential Inputs Confirm: - panel/capture kit name and target BED - UMI layout: inline read, index read, single UMI, duplex UMI, or unknown - whether consensus reads have already been generated - FASTQ/BAM input and pairing convention - reference build and panel-specific annotation requirements - minimum allele fraction goal and intended use: screening, research, validation, or exploratory - positive/negative controls and expected spike-ins when available Route Use a lab-validated panel workflow when provided. For public-tool planning, combine FASTQ QC, UMI extraction/consensus generation, alignment, target coverage QC, and variant calling as separate audited stages. Preflight command: bash python plugins/ngs-anal
Verified compatibility and discovery
Frequently asked questions
What is ngs-dna-umi-panel-variants?
ngs-dna-umi-panel-variants is a open-source AI agent skill with Copy skill directory. Run or plan targeted DNA panel variant workflows that use UMIs, duplex consensus reads, molecular barcodes, low-frequency calling, target coverage, and panel-specific QC.
Who is ngs-dna-umi-panel-variants best for?
ngs-dna-umi-panel-variants is best for reusing agent instructions, scripts, and references, data analysis workflows, research workflows.
How do I install ngs-dna-umi-panel-variants?
Install or run ngs-dna-umi-panel-variants using Copy skill directory. Check ngs-dna-umi-panel-variants for the latest setup command.
Is ngs-dna-umi-panel-variants actively maintained?
ngs-dna-umi-panel-variants 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.
