Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
Category: AI & models
8,898 results · page 138 of 297
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apply-renovate-prsSkillAI & models
Apply the changes from all open Renovate bot pull requests of a GitHub repository into the local working tree. Use this skill when asked to apply, merge locally, consolidate, batch, or try out Renovate/dependabot-style dependency update PRs so the combined upgrade can be built and tested in one go.
Ready to connect★ 182
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atac-seqSkillAI & models
ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.
Ready to connect★ 179
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bio-comparative-genomics-ancestral-reconstructionSkillAI & models
Reconstruct ancestral states at internal phylogenetic nodes for sequences (PAML codeml, IQ-TREE --ancestral, GRASP, FastML), discrete traits (corHMM hidden-rate Markov, ape::ace, phytools::make.simmap stochastic mapping, BayesTraits), and continuous traits (phytools::fastAnc, geiger Brownian/OU, RPA
Ready to connect★ 179
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bio-copy-number-allele-specific-copy-numberSkillAI & models
Infer integer allele-specific copy number, tumor purity, and ploidy from tumor sequencing by jointly modeling read depth (logR) and B-allele frequency (BAF) with ASCAT, Sequenza, FACETS, PURPLE, and PureCN (tumor-only). Covers the purity-ploidy identifiability problem, the diploid-baseline (dipLogR)
Ready to connect★ 179
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bio-crispr-screens-batch-correctionSkillAI & models
Batch effect correction for CRISPR screens covering ComBat empirical-Bayes, RUV, SVA, control-sgRNA normalization, and the model-based alternative of including batch as a covariate in MAGeCK MLE or Chronos. Covers screen-specific batch sources (passage cohort, library lot, infection day, sequencing
Ready to connect★ 179
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bio-genome-annotation-annotation-transferSkillAI & models
Transfer gene annotations between genome assemblies using Liftoff for same-species annotation liftover and MiniProt for cross-species protein-to-genome alignment. Enables rapid annotation of new assemblies using existing reference annotations. Use when annotating a new assembly of a species with an
Ready to connect★ 179
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bio-genome-assembly-assembly-polishingSkillAI & models
Polish genome assemblies to reduce errors using short reads (Pilon), long reads (Racon), or ONT-specific tools (medaka). Essential for improving long-read assembly accuracy. Use when improving assembly accuracy with polishing tools.
Ready to connect★ 179
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bio-metagenomics-amr-detectionSkillAI & models
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★ 179
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bio-phylo-bayesian-inferenceSkillAI & models
Run Bayesian phylogenetic analysis with MrBayes, BEAST2, RevBayes, and PhyloBayes including MCMC convergence diagnostics and model comparison. Use when needing posterior probability support, Bayesian model averaging, site-heterogeneous models for deep phylogenies, or formal model comparison via step
Ready to connect★ 179
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bio-rna-quantification-alignment-free-quantSkillAI & models
Quantify transcript expression using pseudo-alignment with Salmon or kallisto. Use when quantifying transcripts with Salmon or kallisto.
Ready to connect★ 179
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bio-structural-biology-alphafold-predictionsSkillAI & models
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★ 179
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bio-toolsSkillAI & models
Biology research tools reference. Always available inside agent containers.
Ready to connect★ 179
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boltz-structure-predictionSkillAI & models
Boltz-1 / Boltz-2 structure prediction for proteins, complexes, and ligand-aware validation. Use this skill when: (1) Predicting protein complex structures, (2) Validating designed binders, (3) Need open-source alternative to AF2, (4) Predicting protein-ligand complexes, (5) Using local GPU resource
Ready to connect★ 179
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bulk-rna-expressionSkillAI & models
Python-first workflow for bulk RNA-seq expression intake, normalization, sample QC, and downstream-ready matrices.
Ready to connect★ 179
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causal-genomicsSkillAI & models
Workflow for fine-mapping, colocalization, mediation, pleiotropy analysis, and Mendelian randomization.
Ready to connect★ 179
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cell-annotationSkillAI & models
Automated and marker-guided single-cell cell type annotation using CellTypist, marker review, reference transfer, and confidence-aware label curation.
Ready to connect★ 179
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cell-communicationSkillAI & models
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.
Ready to connect★ 179
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chip-seqSkillAI & models
ChIP-seq peak calling and downstream interpretation with MACS3, signal track export, annotation, motif analysis, and differential binding review.
Ready to connect★ 179
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comparative-genomicsSkillAI & models
Workflow for orthology, synteny, ancestral reconstruction, and evolutionary comparison across genomes.
Ready to connect★ 179
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copy-numberSkillAI & models
Workflow for copy-number estimation, segmentation, annotation, and visualization in sequencing-based assays.
Ready to connect★ 179
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epitranscriptomicsSkillAI & models
Workflow for RNA modification analysis such as m6A peak calling, differential modification, and transcript-level visualization.
Ready to connect★ 179
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gene-regulatory-networksSkillAI & models
Workflow for regulatory network inference, regulon scoring, perturbation-aware comparison, and network visualization.
Ready to connect★ 179
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genome-assemblySkillAI & models
Workflow for de novo assembly, scaffolding, polishing, contamination review, and assembly QC.
Ready to connect★ 179
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ghm-self-installSkillAI & models
Install the PRD-Driven Context Engineering methodology into a fresh OR existing repository — the subscription-native alternative to forking the whole repo. Runs an interactive wizard that seeds the framework (.claude/ hooks, skills, agents, rules, scripts) without clobbering product content. Trigger
Ready to connect★ 182
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hi-c-3d-genomicsSkillAI & models
Workflow for Hi-C and related 3D genomics analyses including compartments, loops, TADs, differential contacts, and visualization.
Ready to connect★ 179
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imaging-mass-cytometrySkillAI & models
Workflow for multiplexed imaging or IMC segmentation, phenotyping, and spatial summarization.
Ready to connect★ 179
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jspecify-skillSkillAI & models
Use this skill when asked to perform any of the following actions in a Java project: - To add jspecify support - To prevent NullPointerExceptions - To better handle Nullability
Ready to connect★ 182
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long-read-genomicsSkillAI & models
Workflow for nanopore or PacBio long-read QC, alignment, polishing, methylation-aware analysis, and structural variant discovery.
Ready to connect★ 179
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machine-learning-for-omicsSkillAI & models
Workflow for predictive modeling, biomarker discovery, survival modeling, and explainability over omics-derived features.
Ready to connect★ 179
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metabolomicsSkillAI & models
Workflow for untargeted or targeted metabolomics including preprocessing, normalization, annotation, statistics, and pathway mapping.
Ready to connect★ 179
What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
53,789 of the 54,221 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.