Trusted skills for AI agents from official vendors and established maintainers. Every skill is attributed to its author, scanned, and comes with install steps for your AI tool.
184 skills
OpenAIOfficial
Validate FASTQ inputs, run local FastQC/MultiQC QC, interpret QC signals, and optionally execute fastp or Cutadapt trimming branches without overwriting raw reads.
OpenAIOfficial
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.
OpenAIOfficial
Fetch compact BioBank Japan PheWAS summaries for single variants by accepting rsID, GRCh38, or GRCh37 input and resolving to the required GRCh37 query. Use when a user wants concise BBJ association results for one variant
OpenAIOfficial
Fetch GTEx single-tissue eQTL associations from one variant input by accepting rsID, GRCh37, or GRCh38 input and resolving to the required GRCh38 query for the GTEx v2 API. Use when a user wants eQTL associations returned as JSON.
OpenAIOfficial
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.
OpenAIOfficial
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.
OpenAIOfficial
Submit compact Reactome ContentService requests for pathway, event, participant, search, and diagram-related data. Use when a user wants concise Reactome summaries
OpenAIOfficial
Fetch compact UKB-TOPMed PheWAS summaries for single variants by accepting rsID, GRCh37, or GRCh38 input and resolving to the required GRCh38 query. Use when a user wants concise UKB-TOPMed association results for one variant
OpenAIOfficial
Submit compact RCSB PDB requests for core metadata, Search API queries, and FASTA downloads. Use when a user wants concise RCSB summaries; save raw JSON or FASTA only on request.
OpenAIOfficial
Submit compact BioStudies and ArrayExpress API requests for free-text search and accession-based study retrieval. Use when a user wants concise BioStudies summaries
OpenAIOfficial
Submit compact RNAcentral API requests for RNA entry browsing, single-entry lookup, and cross-reference retrieval. Use when a user wants concise RNAcentral summaries
OpenAIOfficial
Submit compact HMDB search requests for metabolites, proteins, diseases, and pathways. Use when a user wants concise HMDB summaries
OpenAIOfficial
Screen and rank small-molecule libraries against protein targets with integrated ADME profiling.
OpenAIOfficial
Submit compact Human Protein Atlas requests for gene JSON, search downloads, and page-level tissue or cell-line lookups. Use when a user wants concise Human Protein Atlas summaries; save raw JSON or HTML only on request.
OpenAIOfficial
Submit compact IPD REST requests for HLA allele and cell-level metadata using the public IPD query API. Use when a user wants concise IPD summaries; save raw JSON or text only on request.
NVIDIAOfficial
NOTE: molecule and target inputs and your NGC_API_KEY are transmitted to external NVIDIA-hosted API endpoints on every call. Use local NIM containers for confidential or proprietary data. Run a complete computational drug discovery pipeline using NVIDIA BioNeMo NIMs: generate drug-like molecules with GenMol, dock them to a protein target with DiffDock, then predict binding affinity with Boltz2. Use this skill whenever the user wants to generate and screen small molecule drug candidates, perform hit discovery, optimize leads against a protein target, or do virtual screening combining molecule generation, docking, and affinity prediction. Triggers on: drug discovery pipeline, hit discovery, lead optimization, virtual screening, molecule generation, molecular docking, binding affinity, GenMol, DiffDock, Boltz2, SMILES, SAFE notation, NIM microservice. This is a multi-step pipeline composing three BioNeMo NIMs.
NVIDIAOfficial
Use when accelerating existing genomics workflows with NVIDIA Parabricks, improving runtime or price/performance, converting pipeline steps to GPUs, or comparing CPU and GPU workflow outputs. Adds optional GPU steps in-place with runtime toggles (default off). Do NOT use for individual pbrun command routing — use parabricks.
NVIDIAOfficial
Plan NVIDIA Parabricks pbrun commands, translate CPU options and check runtime readiness. Use for individual tools, including planning-only questions.
NVIDIAOfficial
Extracts molecular embeddings from KERMT checkpoints using a containerized workflow.
NVIDIAOfficial
Run RFDiffusion protein backbone design via NVIDIA NIM. Use for de novo protein backbones, motif scaffolding, binder design, hotspot residues, contigs syntax, diffusion steps, hosted NVIDIA API calls, local Docker deployment, and PDB backbone outputs for ProteinMPNN sequence design.
NVIDIAOfficial
Run DiffDock molecular docking via NVIDIA NIM to predict small-molecule binding poses against protein targets. Use for DiffDock, molecular docking, ligand docking, blind docking, SMILES or SDF ligands, ranked poses, confidence scores, hosted NVIDIA API, or local Docker deployment.
NVIDIAOfficial
Generate and analyze DNA sequences using NVIDIA's Evo 2 BioNeMo NIM microservice. Use for Evo2/Evo 2, DNA generation, genomic sequence generation, hosted generation, local Docker deployment, local forward passes, layer outputs, logits, sampled probabilities, and BioNeMo NIM workflows.
NVIDIAOfficial
NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. Use local NIM containers for confidential or proprietary sequences. Run a complete protein structure prediction pipeline using NVIDIA BioNeMo NIMs: search for MSA alignments with MSA-Search (ColabFold), then predict the structure with OpenFold3 using the retrieved alignments. Use this skill whenever the user wants to predict a protein structure with maximum accuracy using MSA context, run the full AlphaFold3-style pipeline, generate MSA-informed structure predictions, or improve structure prediction accuracy by providing evolutionary information. Triggers on: MSA structure prediction pipeline, structure prediction pipeline, MSA-informed prediction, OpenFold3, ColabFold MSA, AlphaFold3 pipeline, protein structure, homology search, a3m alignment, UniRef30, NIM microservice. This pipeline chains MSA-Search and OpenFold3.
NVIDIAOfficial
Use this skill for OpenFold2, NVIDIA's BioNeMo NIM microservice for monomer protein structure prediction. Invoke whenever the user mentions OpenFold2, AlphaFold2-like monomer folding, protein sequence-to-structure prediction, A3M MSAs, mmCIF templates, hosted NVIDIA API calls, or local Docker deployment.