Dev tools skills.
22,476 dev tools skills, including improve-codebase-architecture, tdd and setup-matt-pocock-skills, are listed on Ahel today. Each one has a page of its own that says what it does and whether Ahel can serve it in Claude, Claude Code, ChatGPT, Codex and Cursor.
Category: Dev tools
22,476 results · page 98 of 750
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bio-single-cell-markers-annotationSkillDev tools
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.
Ready to connect★ 3k
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bio-single-cell-multimodal-integrationSkillDev tools
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.
Ready to connect★ 3k
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bio-single-cell-perturb-seqSkillDev tools
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.
Ready to connect★ 3k
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bio-single-cell-scatac-analysisSkillDev tools
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.
Ready to connect★ 3k
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bio-single-cell-splicingSkillDev tools
Lets your agent analyze alternative splicing in single-cell RNA sequencing data.
Ready to connect★ 3k
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bio-small-rna-seq-differential-mirnaSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-small-rna-seq-mirdeep2-analysisSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-small-rna-seq-mirge3-analysisSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-small-rna-seq-smrna-preprocessingSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-small-rna-seq-target-predictionSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-spatial-transcriptomics-spatial-communicationSkillDev tools
Analyze cell-cell communication in spatial transcriptomics data using ligand-receptor analysis with Squidpy. Infer intercellular signaling, identify communication pathways, and visualize interaction networks. Use when analyzing cell-cell communication in spatial context.
Ready to connect★ 3k
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bio-spatial-transcriptomics-spatial-deconvolutionSkillDev tools
Estimate cell type composition in spatial transcriptomics spots using reference-based deconvolution. Use cell2location, RCTD, SPOTlight, or Tangram to infer cell type proportions from scRNA-seq references. Use when estimating cell type composition in spatial spots.
Ready to connect★ 3k
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bio-spatial-transcriptomics-spatial-domainsSkillDev tools
Identify spatial domains and tissue regions in spatial transcriptomics data using Squidpy and Scanpy. Cluster spots considering both expression and spatial context to define anatomical regions. Use when identifying tissue domains or spatial regions.
Ready to connect★ 3k
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bio-spatial-transcriptomics-spatial-neighborsSkillDev tools
Build spatial neighbor graphs for spatial transcriptomics data using Squidpy. Compute k-nearest neighbors, Delaunay triangulation, and radius-based connectivity for downstream spatial analyses. Use when building spatial neighborhood graphs.
Ready to connect★ 3k
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bio-spatial-transcriptomics-spatial-proteomicsSkillDev tools
Analyzes spatial proteomics data from CODEX, IMC, and MIBI platforms including cell segmentation and protein colocalization. Use when working with multiplexed imaging data, analyzing protein spatial patterns, or integrating spatial proteomics with transcriptomics.
Ready to connect★ 3k
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bio-spatial-transcriptomics-spatial-statisticsSkillDev tools
Compute spatial statistics for spatial transcriptomics data using Squidpy. Calculate Moran's I, Geary's C, spatial autocorrelation, co-occurrence analysis, and neighborhood enrichment. Use when computing spatial autocorrelation or co-occurrence statistics.
Ready to connect★ 3k
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bio-sra-dataSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-structural-biology-alphafold-predictionsSkillDev tools
Access and analyze AlphaFold protein structure predictions. Use when predicted structures are needed for proteins without experimental structures, or for confidence scores (pLDDT).
Ready to connect★ 3k
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bio-systems-biology-flux-balance-analysisSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-systems-biology-gene-essentialitySkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-systems-biology-metabolic-reconstructionSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-tcr-bcr-analysis-immcantation-analysisSkillDev tools
Analyze BCR repertoires for somatic hypermutation, clonal lineages, and B cell phylogenetics using the Immcantation framework. Use when studying B cell affinity maturation, germinal center dynamics, or antibody evolution.
Ready to connect★ 3k
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bio-tcr-bcr-analysis-mixcr-analysisSkillDev tools
Perform V(D)J alignment and clonotype assembly from TCR-seq or BCR-seq data using MiXCR. Use when processing raw immune repertoire sequencing data to identify clonotypes and their frequencies.
Ready to connect★ 3k
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bio-tcr-bcr-analysis-repertoire-visualizationSkillDev tools
Create publication-quality visualizations of immune repertoire data including circos plots, clone tracking, diversity plots, and network graphs. Use when generating figures for repertoire comparisons, clonal dynamics, or V(D)J gene usage.
Ready to connect★ 3k
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bio-tcr-bcr-analysis-scirpy-analysisSkillDev tools
Analyze single-cell TCR and BCR data integrated with gene expression using scirpy. Use when working with 10x Genomics VDJ data alongside scRNA-seq or when integrating immune receptor information with cell state analysis.
Ready to connect★ 3k
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bio-transcription-translationSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-uniprot-accessSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-variant-calling-clinical-interpretationSkillDev tools
Clinical variant interpretation using ClinVar, ACMG guidelines, and pathogenicity predictors. Prioritize variants for diagnostic and research applications. Use when interpreting clinical significance of variants.
Ready to connect★ 3k
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bio-variant-calling-deepvariantSkillDev tools
Deep learning-based variant calling with Google DeepVariant. Provides high accuracy for germline SNPs and indels from Illumina, PacBio, and ONT data. Use when calling variants with DeepVariant deep learning caller.
Ready to connect★ 3k
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bio-variant-calling-joint-callingSkillDev tools
Joint genotype calling across multiple samples using GATK CombineGVCFs and GenotypeGVCFs. Essential for cohort studies, population genetics, and leveraging VQSR. Use when performing joint genotyping across multiple samples.
Ready to connect★ 3k
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