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Claude Skills by mdbabumiamssm
github.com/mdbabumiamssm1,578 skills3 installs3,530 views
- Mcp Builder--> --- name: 'mcp-builder' description: 'Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Notion Knowledge Capture--> --- name: 'notion-knowledge-capture' description: 'Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Transforms conversations, discussi...Votes: 0GitHub stars: 32
- Notion Meeting Intelligence--> --- name: 'notion-meeting-intelligence' description: 'Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Prepares you for meetings by gathering c...Votes: 0GitHub stars: 32
- Notion Research Documentation--> --- name: 'notion-research-documentation' description: 'Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Enables comprehensive research workf...Votes: 0GitHub stars: 32
- Notion Spec To Implementation--> --- name: 'notion-spec-to-implementation' description: 'Turns product or tech specs into concrete Notion tasks that Claude code can implement. Breaks down spec pages into detailed implementation plans with clear tasks, acceptance criteria, and progress tracking to guide development from requirements to completion.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Transforms specifications into a...Votes: 0GitHub stars: 32
- Skill Creator--> --- name: 'skill-creator' description: 'Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude''s capabilities with specialized knowledge, workflows, or tool integrations.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- This skill provides guidance for creating effective skills.Votes: 0GitHub stars: 32
- Slack Gif Creator--> --- name: 'slack-gif-creator' description: 'Toolkit for creating animated GIFs optimized for Slack, with validators for size constraints and composable animation primitives. This skill applies when users request animated GIFs or emoji animations for Slack from descriptions like "make me a GIF for Slack of X doing Y".' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- A toolkit for creating animat...Votes: 0GitHub stars: 32
- Theme Factory--> --- name: 'theme-factory' description: 'Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- This skill provides a curated collection of p...Votes: 0GitHub stars: 32
- Webapp Testing--> --- name: 'webapp-testing' description: 'Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- To test local web applications, write native Python Playwright scripts. **Helper Scripts Available**: ...Votes: 0GitHub stars: 32
- Single Cell Rna Qc--> --- name: single-cell-rna-qc description: Perform quality control on single-cell RNA-seq data (.h5ad, 10x .h5, or 10x directories) using scverse best practices, MAD-based filtering (log1p counts/genes, high-tail MT%), and generate filtered AnnData plus QC plots and summary JSON. Use when users request scRNA-seq QC, filtering low-quality cells, data quality assessment, or QC visualizations. measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed...Votes: 0GitHub stars: 32
- Claude ApiReference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answ...Votes: 0GitHub stars: 32
- StackSingleCellIclAgent Agent--> <!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE --> --- name: 'stack-single-cell-icl-agent' description: 'Apply Arc Institute Stack, a single-cell foundation model that performs in-context learning at inference time without per-task fine-tuning.' measurable_outcome: 'Execute skill workflow successfully with valid output within 15 minutes.' allowed-tools: - read_file - run_shell_command - web_fetch ---Votes: 0GitHub stars: 32
- PrecisionGroundedVariantSummarization Agent--> <!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE --> --- name: 'precision-grounded-variant-summarization' description: 'Produce evidence-grounded genetic variant summaries with provenance, conflict handling, and hallucination controls.' measurable_outcome: 'Execute skill workflow successfully with valid output within 15 minutes.' allowed-tools: - read_file - run_shell_command - web_fetch ---Votes: 0GitHub stars: 32
- Scprint2FoundationModelAgent Agent--> <!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE --> --- name: 'scprint2-foundation-model-agent' description: 'Agentic skill for using scPRINT-2, the next-generation single-cell foundation model from the Cantini Lab, for cell-type annotation, embedding, and downstream single-cell analysis.' measurable_outcome: 'Execute skill workflow successfully with valid output within 15 minutes.' allowed-tools: - read_file - run_shell_command - web_fetch ---Votes: 0GitHub stars: 32
- BioStudio Alpha SC--> --- name: biostudio-alpha-sc description: Run BioTuring's BioStudio Alpha SC GPU stack to accelerate single-cell and spatial multi-omics analysis on NVIDIA Blackwell-class hardware. keywords: - single-cell - gpu-acceleration - biostudio - spatial-transcriptomics - multi-omics measurable_outcome: Process a 1+ million cell atlas (10x HDF5 or FASTQ) end-to-end in BioStudio Alpha SC with QC, clustering, and annotation layers inside one work session. license: Proprietary (BioTuring EULA) metad...Votes: 0GitHub stars: 32
- Batch Integration--> --- name: bio-single-cell-batch-integration description: Integrate multiple scRNA-seq samples/batches using Harmony, scVI, Seurat anchors, and fastMNN. Remove technical variation while preserving biological differences. Use when integrating multiple scRNA-seq batches or datasets. tool_type: mixed primary_tool: Harmony measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Integrate multiple scRNA-seq ...Votes: 0GitHub stars: 32
- Cell Annotation--> --- name: bio-single-cell-cell-annotation description: Automated cell type annotation using reference-based methods including CellTypist, scPred, SingleR, and Azimuth for consistent, reproducible cell labeling. Use when automatically annotating cell types using reference datasets. tool_type: mixed primary_tool: CellTypist measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Cell Communication--> --- name: bio-single-cell-cell-communication description: Infer cell-cell communication networks from scRNA-seq data using CellChat, NicheNet, and LIANA for ligand-receptor interaction analysis. Use when inferring ligand-receptor interactions between cell types. tool_type: mixed primary_tool: CellChat measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Clustering--> --- name: bio-single-cell-clustering description: Dimensionality reduction and clustering for single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for running PCA, computing neighbors, clustering with Leiden/Louvain algorithms, generating UMAP/tSNE embeddings, and visualizing clusters. Use when performing dimensionality reduction and clustering on single-cell data. tool_type: mixed primary_tool: Seurat measurable_outcome: Execute skill workflow successfully with valid output with...Votes: 0GitHub stars: 32
- Data Io--> --- name: bio-single-cell-data-io description: Read, write, and create single-cell data objects using Seurat (R) and Scanpy (Python). Use for loading 10X Genomics data, importing/exporting h5ad and RDS files, creating Seurat objects and AnnData objects, and converting between formats. Use when loading, saving, or converting single-cell data formats. tool_type: mixed primary_tool: Seurat measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-to...Votes: 0GitHub stars: 32
- Doublet Detection--> --- name: bio-single-cell-doublet-detection description: Detect and remove doublets (multiple cells captured in one droplet) from single-cell RNA-seq data. Uses Scrublet (Python), DoubletFinder (R), and scDblFinder (R). Essential QC step before clustering to avoid artificial cell populations. Use when identifying and removing doublets from scRNA-seq data. tool_type: mixed primary_tool: Scrublet measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. al...Votes: 0GitHub stars: 32
- Lineage Tracing--> --- name: bio-single-cell-lineage-tracing description: Reconstruct cell lineage trees from CRISPR barcode tracing or mitochondrial mutations. Use when studying clonal dynamics, cell fate decisions, or developmental trajectories. tool_type: python primary_tool: Cassiopeia measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Markers Annotation--> --- name: bio-single-cell-markers-annotation description: Find marker genes and annotate cell types in single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for differential expression between clusters, identifying cluster-specific markers, scoring gene sets, and assigning cell type labels. Use when finding marker genes and annotating clusters. tool_type: mixed primary_tool: Seurat measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed...Votes: 0GitHub stars: 32
- Metabolite Communication--> --- name: bio-single-cell-metabolite-communication description: Analyze metabolite-mediated cell-cell communication using MeboCost for metabolic signaling inference between cell types. Predict metabolite secretion and sensing patterns from scRNA-seq data. Use when studying metabolic crosstalk between cell populations or metabolite-receptor interactions. tool_type: python primary_tool: MeboCost measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. all...Votes: 0GitHub stars: 32
- Multimodal Integration--> --- name: bio-single-cell-multimodal-integration description: Analyze multi-modal single-cell data (CITE-seq, Multiome, spatial). Use when working with data that measures multiple modalities per cell like RNA + protein or RNA + ATAC. Use when analyzing CITE-seq, Multiome, or other multi-modal single-cell data. tool_type: mixed primary_tool: Seurat measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---...Votes: 0GitHub stars: 32
- Perturb Seq--> --- name: bio-single-cell-perturb-seq description: Analyze Perturb-seq and CROP-seq CRISPR screening data integrated with scRNA-seq. Use when identifying gene function through pooled genetic perturbations in single cells. tool_type: python primary_tool: Pertpy measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Preprocessing--> --- name: bio-single-cell-preprocessing description: Quality control, filtering, and normalization for single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for calculating QC metrics, filtering cells and genes, normalizing counts, identifying highly variable genes, and scaling data. Use when filtering, normalizing, and selecting features in single-cell data. tool_type: mixed primary_tool: Seurat measurable_outcome: Execute skill workflow successfully with valid output within 15 m...Votes: 0GitHub stars: 32
- Rna Velocity--> --- name: rna-velocity description: Infer transcriptional dynamics from spliced/unspliced layers using scVelo with latent time, driver gene ranking, and velocity graph exports. measurable_outcome: Deliver annotated .h5ad files containing velocity layers, latent time, confidence metrics, and ranked driver genes with Markdown + PNG diagnostics. allowed-tools: - read_file - run_shell_command - python reliability: - source: https://github.com/theislab/scvelo score: 0.93 rationale: >- Canonica...Votes: 0GitHub stars: 32
- Sc Batch Integration--> --- name: bio-sc-batch-integration description: Batch integration for multi-sample scRNA-seq using Harmony, scVI, Seurat CCA/RPCA, BBKNN, and fastMNN. Remove technical variation while preserving biological differences. tool_type: mixed primary_tool: singlecell measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Integrate multiple scRNA-seq datasets to remove batch effects while preserving biologica...Votes: 0GitHub stars: 32
- Sc Cell Annotation--> --- name: bio-sc-cell-annotation description: Automated cell type annotation using marker genes, CellTypist, SingleR, or scmap. Supports custom references and marker gene lists. tool_type: mixed primary_tool: singlecell measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- You are **SC Annotate**, a specialised OmicsClaw agent for automated cell type annotation in single-cell data. Your role is to as...Votes: 0GitHub stars: 32
- Sc Cell Communication--> --- name: bio-sc-communication description: Cell-cell communication analysis via ligand-receptor interaction scoring using CellChat (R), NicheNet (R), LIANA (Python), or built-in L-R database. tool_type: mixed primary_tool: singlecell measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- You are **SC Communication**, a specialised OmicsClaw agent for cell-cell communication analysis via ligand-recept...Votes: 0GitHub stars: 32
- Sc De--> --- name: bio-spatial-de description: "Differential expression analysis for single-cell data \u2014 marker\ \ gene discovery using Wilcoxon, t-test, MAST, or DESeq2 pseudo-bulk analysis." tool_type: mixed primary_tool: singlecell measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- You are **SC DE**, the differential expression and marker gene discovery skill for single-cell data. Your role is to id...Votes: 0GitHub stars: 32
- Sc Doublet Detection--> --- name: bio-sc-doublet-detection description: Doublet detection and removal using Scrublet (Python), DoubletFinder (R), and scDblFinder (R). Essential QC step before clustering. tool_type: mixed primary_tool: singlecell measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Detect and remove doublets (multiple cells captured in one droplet) from scRNA-seq data. Essential QC step before clustering.Votes: 0GitHub stars: 32
- Sc Grn--> --- name: bio-sc-grn description: "Gene regulatory network inference using pySCENIC three-step pipeline\ \ (GRNBoost2 \u2192 cisTarget \u2192 AUCell), with correlation-based fallback. Identifies\ \ transcription factor regulons and scores their activity per cell." tool_type: mixed primary_tool: singlecell measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- You are **SC GRN**, a specialised OmicsCla...Votes: 0GitHub stars: 32
- Sc Multiome--> --- name: bio-sc-multiome description: Multi-omics integration for single-cell data (CITE-seq, 10X Multiome, SHARE-seq). Weighted Nearest Neighbor (WNN) analysis, MOFA+, and muon/MuData workflows. tool_type: mixed primary_tool: singlecell measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Jointly analyze multiple modalities (RNA + protein, RNA + ATAC) measured in the same cells.Votes: 0GitHub stars: 32
- Sc Preprocessing--> --- name: bio-sc-preprocessing description: Single-cell RNA-seq QC, normalization, HVG selection, PCA, UMAP, and Leiden clustering. Supports both Scanpy (Python) and Seurat (R) workflows. tool_type: mixed primary_tool: singlecell measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- You are **SC Preprocessing**, the foundation skill for single-cell analysis in OmicsClaw. Your role is to load scRNA-se...Votes: 0GitHub stars: 32
- Sc Trajectory--> --- name: bio-spatial-trajectory description: Trajectory inference and pseudotime analysis using DPT, Monocle3, Slingshot, scVelo for RNA velocity, and PAGA for abstracted graph analysis. tool_type: mixed primary_tool: singlecell measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- You are **SC Trajectory**, a specialised OmicsClaw agent for trajectory inference and pseudotime ordering in single-cel...Votes: 0GitHub stars: 32
- Sc Velocity--> --- name: bio-sc-velocity description: RNA velocity analysis for single-cell omics. Wraps scVelo to quantify spliced/unspliced kinetics, latent time, velocity graphs, and driver gene ranking with optional dynamical mode fitting. tool_type: mixed primary_tool: singlecell measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Quantify transcriptional dynamics by coupling spliced and unspliced matrices u...Votes: 0GitHub stars: 32
- Scatac Analysis--> --- name: bio-single-cell-scatac-analysis description: Single-cell ATAC-seq analysis with Signac (R/Seurat) and ArchR. Process 10X Genomics scATAC data, perform QC, dimensionality reduction, clustering, peak calling, and motif activity scoring with chromVAR. Use when analyzing single-cell ATAC-seq data. tool_type: r primary_tool: Signac measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Analyze si...Votes: 0GitHub stars: 32
- Trajectory Inference--> --- name: bio-single-cell-trajectory-inference description: Infer developmental trajectories and pseudotime from single-cell RNA-seq data using Monocle3, Slingshot, and scVelo for RNA velocity analysis. Use when inferring developmental trajectories or pseudotime. tool_type: mixed primary_tool: Monocle3 measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Transcriptformer Cell EmbeddingsOperate CZI TranscriptFormer cross-species generative single-cell models to produce cell embeddings, contextual gene embeddings, likelihoods, zero-shot classifiers, disease-state representations, and regulatory analyses from raw-count AnnData files. Use when selecting TF-Sapiens, TF-Exemplar, or TF-Metazoa, processing in- or out-of-distribution species, or scaling embedding extraction across GPUs.Votes: 0GitHub stars: 32
- Single Cell RNA QC--> --- name: scrna-qc description: Execute the MAD-based single-cell RNA-seq QC workflow (scripts + Python API) to filter low-quality cells and emit reports plus filtered AnnData files. measurable_outcome: Produce filtered .h5ad files, before/after plots, and qc_summary.json within 20 minutes per dataset. allowed-tools: - read_file - run_shell_command reliability: - source: https://github.com/scverse/scanpy score: 0.90 rationale: >- Scanpy repository maintained by the scverse core team with ...Votes: 0GitHub stars: 32
- Alphagenome Variant EffectsUse Google DeepMind AlphaGenome to predict tissue-aware regulatory effects of DNA sequence variants across expression, splicing, chromatin, and contact-map outputs. Use when prioritizing noncoding variants, comparing reference and alternate alleles, visualizing predicted regulatory changes, or designing focused AlphaGenome API analyses.Votes: 0GitHub stars: 32
- Evo2 Genome ModelOperate Arc Institute Evo 2 for long-context DNA sequence scoring, zero-shot variant effect analysis, genomic embeddings, sequence generation, and model deployment. Use when a task explicitly needs Evo 2, million-base genomic context, DNA likelihood comparisons, genomic foundation-model embeddings, or generated DNA candidates across species.Votes: 0GitHub stars: 32
- Genomics Alignment--> --- name: bio-genomics-alignment description: 'Alignment statistics from SAM/BAM files: mapping rate, MAPQ distribution, insert size, duplicate rate, proper pair rate. Mirrors samtools-flagstat.' tool_type: mixed primary_tool: genomics measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Short and long read alignment to reference genomes. Supports BWA-MEM, Bowtie2, and Minimap2.Votes: 0GitHub stars: 32
- Genomics Assembly--> --- name: bio-genomics-assembly description: 'Genome assembly quality assessment: N50/N90/L50/L90 (QUAST-compatible), GC content, contig length distribution, completeness estimation. Wraps SPAdes, Megahit, Flye, Canu.' tool_type: mixed primary_tool: genomics measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- De novo genome assembly for short and long reads. Wraps SPAdes, Megahit, Flye, and Canu.Votes: 0GitHub stars: 32
- Genomics Cnv Calling--> --- name: bio-genomics-cnv-calling description: Copy number variant detection from exome/WGS data using CNVkit, Control-FREEC, or GATK gCNV. Supports tumor-normal pairs, tumor-only, and germline modes. tool_type: mixed primary_tool: genomics measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Detect copy number variants from targeted/exome/WGS sequencing data.Votes: 0GitHub stars: 32
- Genomics Epigenomics--> --- name: bio-genomics-epigenomics description: Epigenomics analysis including ATAC-seq peak calling with MACS3, ChIP-seq analysis, motif enrichment, and chromatin accessibility. tool_type: mixed primary_tool: genomics measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Peak calling and chromatin accessibility analysis for ATAC-seq and ChIP-seq data.Votes: 0GitHub stars: 32
- Genomics Phasing--> --- name: bio-genomics-phasing description: 'Haplotype phasing analysis: phase block N50, phased fraction, PS (Phase Set) field parsing, pipe-delimited genotype detection. Wraps WhatsHap, SHAPEIT5, Eagle2.' tool_type: mixed primary_tool: genomics measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Haplotype phasing for variant data. Wraps WhatsHap, SHAPEIT, and Eagle.Votes: 0GitHub stars: 32
- Genomics Qc--> --- name: bio-genomics-qc description: 'FASTQ quality control: Phred quality scores, GC/N content, Q20/Q30 rates, per-base quality profiles, read length distribution, and adapter contamination detection.' tool_type: mixed primary_tool: genomics measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Quality control for genomic sequencing data. Wraps FastQC, MultiQC, and fastp for read-level QC and adap...Votes: 0GitHub stars: 32