ngs-epigenomics-peaks Skill
Dispatch ATAC-seq, ChIP-seq, CUT&RUN, or CUT&Tag requests to assay-specific QC, alignment, signal-track, peak-calling, consensus, and differential peak workflows. Published by openai in plugins.
Decision snapshot
Is this a fit?
Data analysis, 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-epigenomics-peaks Skill?
Dispatch ATAC-seq, ChIP-seq, CUT&RUN, or CUT&Tag requests to assay-specific QC, alignment, signal-track, peak-calling, consensus, and differential peak 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-epigenomics-peaks/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-epigenomics-peaks Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/ngs-analysis/skills/ngs-epigenomics-peaks/SKILL.md
What it does
Dispatch ATAC-seq, ChIP-seq, CUT&RUN, or CUT&Tag requests to assay-specific QC, alignment, signal-track, peak-calling, consensus, and differential peak workflows.
Skill instructions
Epigenomics Peaks Use this skill as the epigenomics dispatcher for ATAC-seq, ChIP-seq, CUT&RUN, or CUT&Tag analysis. Hand off to the assay-specific deep skill once the assay type is known. Essential Inputs Confirm: - assay type - FASTQ or BAM input - organism and genome build - blacklist file, if available - control samples: input DNA, IgG, or spike-in - biological replicates - peak type: narrow, broad, accessibility, or protocol-specific - desired outputs: QC report, peaks, consensus peaks, bigWigs, differential peaks Public Defaults Choose the workflow by assay: - ATAC-seq: ngs-atacseq-peaks-qc using nf-core/atacseq by default - ChIP-seq: ngs-chip-cutrun-peaks-qc using nf-core/chipseq by default - CUT&RUN or CUT&Tag: ngs-chip-cutrun-peaks-qc using nf-core/cutandrun by default Use direct MACS2 only for focused peak-calling tasks from prepared BAMs. Preflight bash python plugins/ngs-analysis/scripts/ngspreflight.py --pipeline epigenomicspeaks --emit-install-plan Local Execution Package
Verified compatibility and discovery
Frequently asked questions
What is ngs-epigenomics-peaks?
ngs-epigenomics-peaks is a open-source AI agent skill with Copy skill directory. Dispatch ATAC-seq, ChIP-seq, CUT&RUN, or CUT&Tag requests to assay-specific QC, alignment, signal-track, peak-calling, consensus, and differential peak workflows.
Who is ngs-epigenomics-peaks best for?
ngs-epigenomics-peaks is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install ngs-epigenomics-peaks?
Install or run ngs-epigenomics-peaks using Copy skill directory. Check ngs-epigenomics-peaks for the latest setup command.
Is ngs-epigenomics-peaks actively maintained?
ngs-epigenomics-peaks 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.
