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ngs-analysis

v1.0.3

Guided NGS intake, local execution, and public-pipeline routing for BCL, FASTQ, DNA variant, RNA-seq, single-cell, epigenomics, amplicon, and metagenomics analyses, with deeper decision skills for high-risk assay branches.

Codex18 skills

by OpenAIMIT5kupdated 3 weeks ago

Source

git clone https://github.com/openai/plugins

Clone the source, then follow the repository's marketplace instructions for your runtime. The plugin root is plugins/ngs-analysis/ inside the repository.

Layout

plugins/ngs-analysis/
├── .codex-plugin/plugin.json
├── skills/ngs-amplicon-microbiome/SKILL.md
├── skills/ngs-analysis-router/SKILL.md
├── skills/ngs-atacseq-peaks-qc/SKILL.md
├── skills/ngs-bcl-to-fastq/SKILL.md
├── skills/ngs-bulk-rnaseq/SKILL.md
├── skills/ngs-bulk-rnaseq-counts-qc/SKILL.md
├── skills/ngs-bulk-rnaseq-differential-expression/SKILL.md
├── skills/ngs-chip-cutrun-peaks-qc/SKILL.md
├── skills/ngs-dna-germline-variants/SKILL.md
├── skills/ngs-dna-somatic-variants/SKILL.md
├── skills/ngs-dna-umi-panel-variants/SKILL.md
├── skills/ngs-dna-variant-calling/SKILL.md
├── skills/ngs-epigenomics-peaks/SKILL.md
├── skills/ngs-fastq-qc/SKILL.md
├── skills/ngs-runtime-env/SKILL.md
├── skills/ngs-scrna-seq/SKILL.md
├── skills/ngs-shotgun-metagenomics/SKILL.md
└── skills/scrna-seq-qc/SKILL.md

Skills18

ngs-amplicon-microbiomeskills/ngs-amplicon-microbiome/SKILL.md

Kick off public 16S, 18S, ITS, COI, or other marker-gene amplicon microbiome workflows using nf-core/ampliseq, QIIME2, DADA2, and Cutadapt.

ngs-analysis-routerskills/ngs-analysis-router/SKILL.md

Route BCL, FASTQ, BAM/CRAM, count-matrix, or VCF sequencing requests to the right public NGS analysis skill and ask only the missing assay-specific setup questions.

ngs-atacseq-peaks-qcskills/ngs-atacseq-peaks-qc/SKILL.md

Run or plan ATAC-seq QC, alignment, TSS enrichment, fragment-size, blacklist, peak-calling, consensus peak, and differential accessibility workflows.

ngs-bcl-to-fastqskills/ngs-bcl-to-fastq/SKILL.md

Validate Illumina BCL run folders and sample sheets, plan demultiplexing, review index/UMI/lane choices, run BCL-to-FASTQ conversion, and interpret demux metrics while surfacing license/download boundaries.

ngs-bulk-rnaseqskills/ngs-bulk-rnaseq/SKILL.md

Dispatch bulk RNA-seq requests to FASTQ-to-count QC or count-matrix differential-expression skills using nf-core/rnaseq, STAR, Salmon, featureCounts, MultiQC, and R/Bioconductor workflows.

ngs-bulk-rnaseq-counts-qcskills/ngs-bulk-rnaseq-counts-qc/SKILL.md

Run or plan bulk RNA-seq FASTQ-to-count processing with sample-sheet, strandedness, genome annotation, alignment or pseudoalignment, MultiQC, and count-matrix QC checks.

ngs-bulk-rnaseq-differential-expressionskills/ngs-bulk-rnaseq-differential-expression/SKILL.md

Run or plan bulk RNA-seq differential-expression analysis from count matrices with replicate, design formula, contrast, batch, normalization, QC plot, and result-table checks.

ngs-chip-cutrun-peaks-qcskills/ngs-chip-cutrun-peaks-qc/SKILL.md

Run or plan ChIP-seq, CUT&RUN, or CUT&Tag QC, control handling, spike-in, peak calling, broad-vs-narrow target selection, replicate, bigWig, and differential binding workflows.

ngs-dna-germline-variantsskills/ngs-dna-germline-variants/SKILL.md

Run or plan deep germline WGS, WES, targeted-panel, cohort, or trio variant-calling workflows with reference-build, known-sites, QC, joint-calling, and annotation checks.

ngs-dna-somatic-variantsskills/ngs-dna-somatic-variants/SKILL.md

Run or plan tumor-normal, tumor-only, WGS, WES, or cancer-panel somatic variant workflows with pairing, contamination, panel-of-normals, purity, QC, and annotation checks.

ngs-dna-umi-panel-variantsskills/ngs-dna-umi-panel-variants/SKILL.md

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.

ngs-dna-variant-callingskills/ngs-dna-variant-calling/SKILL.md

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.

ngs-epigenomics-peaksskills/ngs-epigenomics-peaks/SKILL.md

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.

ngs-fastq-qcskills/ngs-fastq-qc/SKILL.md

Validate FASTQ inputs, run local FastQC/MultiQC QC, interpret QC signals, and optionally execute fastp or Cutadapt trimming branches without overwriting raw reads.

ngs-runtime-envskills/ngs-runtime-env/SKILL.md

Check whether public NGS tools and packages already exist before downloading, installing, or running a sequencing pipeline.

ngs-scrna-seqskills/ngs-scrna-seq/SKILL.md

Route single-cell or single-nucleus RNA-seq FASTQs to public count-generation workflows and defer post-count matrix QC, annotation, clustering, and UMAP analysis to the embedded scrna-seq-qc skill.

ngs-shotgun-metagenomicsskills/ngs-shotgun-metagenomics/SKILL.md

Kick off public shotgun metagenomics QC, host-depletion, taxonomic profiling, and functional profiling workflows using nf-core/taxprofiler, Kraken2, Bracken, MetaPhlAn, and HUMAnN.

scrna-seq-qcskills/scrna-seq-qc/SKILL.md

Process, quality-control, annotate, and visualize single-cell or single-nucleus RNA-seq datasets across tissues and species. Use when Codex needs to build, adapt, or review a general scRNA-seq QC pipeline; choose dataset-appropriate cell-level filters from QC distributions; run required scDblFinder-based doublet and ambient-RNA filtering; annotate cells with matched references or marker-based fallbacks; or generate global and per-group UMAP visualizations for large scRNA-seq datasets.

Manifests1

plugins/ngs-analysis/.codex-plugin/plugin.json
{
  "name": "ngs-analysis",
  "version": "1.0.3",
  "description": "Guided NGS intake, local execution, and public-pipeline routing for BCL, FASTQ, DNA variant, RNA-seq, single-cell, epigenomics, amplicon, and metagenomics analyses, with deeper decision skills for high-risk assay branches.",
  "author": {
    "name": "OpenAI",
    "email": "support@openai.com",
    "url": "https://openai.com/"
  },
  "homepage": "https://openai.com/",
  "repository": "https://github.com/openai/openai",
  "license": "MIT",
  "keywords": [
    "ngs",
    "sequencing",
    "bioinformatics",
    "fastq",
    "bcl",
    "rnaseq",
    "scrnaseq",
    "variant-calling",
    "atacseq",
    "chipseq",
    "microbiome",
    "metagenomics",
    "pipeline-routing",
    "nextflow",
    "nf-core"
  ],
  "skills": "./skills/",
  "interface": {
    "displayName": "Life Sciences NGS Analysis",
    "shortDescription": "Guided NGS routing and local execution for sequencing analysis",
    "longDescription": "A guided intake, routing, and execution plugin for next-generation sequencing workflows. It helps Codex inspect local sequencing inputs, ask only the missing assay-specific questions, choose public or freely accessible runtime-installable packages where possible, check existing tool availability before any install, and execute supported local workflows with validation, logs, manifests, QC reports, and artifact indexes. It includes deeper decision skills for BCL demultiplexing, FASTQ QC execution and interpretation, germline, somatic and UMI-panel DNA variants, bulk RNA-seq count generation and differential expression, ATAC-seq, ChIP-seq/CUT&RUN/CUT&Tag, and embedded post-count scRNA-seq QC.",
    "developerName": "OpenAI",
    "category": "Education & Research",
    "capabilities": [
      "Interactive",
      "Read",
      "Write"
    ],
    "websiteURL": "https://openai.com/",
    "privacyPolicyURL": "https://openai.com/policies/privacy-policy/",
    "termsOfServiceURL": "https://openai.com/policies/terms-of-use/",
    "defaultPrompt": [
      "Guide me through the minimum required NGS analysis questions, inspect available BCL/FASTQ files or count matrices, choose the right public pipeline or deeper assay-specific skill, check whether required tools already exist, and execute supported local workflows with pre-execution validation and artifact capture."
    ],
    "brandColor": "#0F766E",
    "composerIcon": "./assets/app-icon.png",
    "logo": "./assets/app-icon.png",
    "screenshots": []
  }
}