Dev tools skills.
22,477 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
22,477 results · page 95 of 750
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bio-hi-c-analysis-matrix-operationsSkillDev tools
Balance, normalize, and transform Hi-C contact matrices using cooler and cooltools. Apply iterative correction (ICE), compute expected values, and generate observed/expected matrices. Use when normalizing or transforming Hi-C matrices.
Ready to connect★ 3k
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bio-hi-c-analysis-tad-detectionSkillDev tools
Call topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure. Use when calling TADs from Hi-C insulation scores.
Ready to connect★ 3k
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bio-imaging-mass-cytometry-interactive-annotationSkillDev tools
Interactive cell type annotation for IMC data. Covers napari-based annotation, marker-guided labeling, training data generation, and annotation validation. Use when manually annotating cell types for training classifiers or validating automated phenotyping results.
Ready to connect★ 3k
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bio-imaging-mass-cytometry-phenotypingSkillDev tools
Cell type assignment from marker expression in IMC data. Covers manual gating, clustering, and automated classification approaches. Use when assigning cell types to segmented IMC cells based on protein marker expression or when phenotyping cells in multiplexed imaging data.
Ready to connect★ 3k
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bio-imaging-mass-cytometry-spatial-analysisSkillDev tools
Spatial analysis of cell neighborhoods and interactions in IMC data. Covers neighbor graphs, spatial statistics, and interaction testing. Use when analyzing spatial relationships between cell types, testing for neighborhood enrichment, or identifying cell-cell interaction patterns in imaging mass cy
Ready to connect★ 3k
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bio-immunoinformatics-neoantigen-predictionSkillDev tools
Identify tumor neoantigens from somatic mutations using pVACtools for personalized cancer immunotherapy. Predict mutant peptides that bind patient HLA and may elicit T-cell responses. Use when identifying vaccine targets or checkpoint inhibitor response biomarkers from tumor sequencing data.
Ready to connect★ 3k
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bio-isoform-switchingSkillDev tools
Lets your agent analyze how genes switch between protein variants and predict the biological effects.
Ready to connect★ 3k
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bio-liquid-biopsy-pipelineSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-local-blastSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-long-read-sequencing-clair3-variantsSkillDev tools
Deep learning-based variant calling from long reads using Clair3 for SNPs and small indels. Use when calling germline variants from ONT or PacBio alignments, particularly when high accuracy is needed for clinical or research applications.
Ready to connect★ 3k
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bio-long-read-sequencing-isoseq-analysisSkillDev tools
Analyze PacBio Iso-Seq data for full-length isoform discovery and quantification. Use when characterizing transcript diversity or identifying novel splice variants.
Ready to connect★ 3k
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bio-long-read-sequencing-nanopore-methylationSkillDev tools
Calls DNA methylation from Oxford Nanopore sequencing data using signal-level analysis. Use when detecting 5mC or 6mA modifications directly from nanopore reads without bisulfite conversion.
Ready to connect★ 3k
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bio-longread-alignmentSkillDev tools
Align long reads using minimap2 for Oxford Nanopore and PacBio data. Supports various presets for different read types and applications. Use when aligning ONT or PacBio reads to a reference genome for variant calling, SV detection, or coverage analysis.
Ready to connect★ 3k
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bio-longread-medakaSkillDev tools
Polish assemblies and call variants from Oxford Nanopore data using medaka. Uses neural networks trained on specific basecaller versions. Use when improving ONT-only assemblies or calling variants from Nanopore data without short-read polishing.
Ready to connect★ 3k
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bio-longread-qcSkillDev tools
Quality control for long-read sequencing data using NanoPlot, NanoStat, and chopper. Generate QC reports, filter reads by length and quality, and visualize read characteristics. Use when assessing ONT or PacBio run quality or filtering reads before assembly or alignment.
Ready to connect★ 3k
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bio-longread-structural-variantsSkillDev tools
Detect structural variants from long-read alignments using Sniffles, cuteSV, and SVIM. Use when detecting deletions, insertions, inversions, translocations, or complex rearrangements from ONT or PacBio data, especially those missed by short-read methods.
Ready to connect★ 3k
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bio-machine-learning-atlas-mappingSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-machine-learning-biomarker-discoverySkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-machine-learning-omics-classifiersSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-machine-learning-prediction-explanationSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-machine-learning-survival-analysisSkillDev tools
The largest open-source medical AI skills library for OpenClaw🦞.
Ready to connect★ 3k
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bio-metabolomics-lipidomicsSkillDev tools
Specialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipidomics with LipidSearch, MS-DIAL, and LipidMaps annotation. Use when analyzing lipid classes, chain composition, or lipid-specific pathways.
Ready to connect★ 3k
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bio-metabolomics-normalization-qcSkillDev tools
Quality control and normalization for metabolomics data. Covers QC-based correction, batch effect removal, and data transformation methods. Use when correcting technical variation in metabolomics data before statistical analysis.
Ready to connect★ 3k
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bio-metabolomics-pathway-mappingSkillDev tools
Map metabolites to biological pathways using KEGG, Reactome, and MetaboAnalyst. Perform pathway enrichment and topology analysis. Use when interpreting metabolomics results in the context of biochemical pathways.
Ready to connect★ 3k
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bio-metabolomics-targeted-analysisSkillDev tools
Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment. Use when quantifying specific metabolites using calibration curves and internal standards.
Ready to connect★ 3k
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bio-metabolomics-xcms-preprocessingSkillDev tools
XCMS3 workflow for LC-MS/MS metabolomics preprocessing. Covers peak detection, retention time alignment, correspondence (grouping), and gap filling. Use when processing raw LC-MS data into a feature table for untargeted metabolomics.
Ready to connect★ 3k
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bio-metagenomics-amr-detectionSkillDev tools
Detect antimicrobial resistance genes using AMRFinderPlus, ResFinder, and CARD. Screen isolates and metagenomes for resistance determinants. Use when characterizing resistance profiles in clinical isolates, surveillance samples, or metagenomic data.
Ready to connect★ 3k
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bio-metagenomics-functional-profilingSkillDev tools
Profile functional potential of metagenomes using HUMAnN3 and similar tools. Use when obtaining pathway abundances, gene family counts, or functional annotations from metagenomic data.
Ready to connect★ 3k
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bio-metagenomics-metaphlanSkillDev tools
Marker gene-based taxonomic profiling using MetaPhlAn 4. Provides accurate species-level relative abundances using clade-specific markers. Use when accurate taxonomic profiling is needed and computational resources are limited, or for comparison with HMP/other MetaPhlAn studies.
Ready to connect★ 3k
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bio-metagenomics-visualizationSkillDev tools
Visualize metagenomic profiles using R (phyloseq, microbiome) and Python (matplotlib, seaborn). Create stacked bar plots, heatmaps, PCA plots, and diversity analyses. Use when creating publication-quality figures from MetaPhlAn, Bracken, or other taxonomic profiling output.
Ready to connect★ 3k
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