OpenAI

Find skills for tasks involving NVIDIA products or GPU computing using the live catalog. Get up to three relevant recommendations, with reasons, installation commands, and starter prompts; installation requires explicit approval.

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• Find a skill for Jetson setup
• Discover skills for CUDA or GPU development
• Compare skills for NVIDIA video analysis workflows

Set up and operate NVIDIA AI-Q Blueprint locally or on your own infrastructure. Choose a deployment mode, configure credentials, check service health, troubleshoot failures, and provide a verified server address for aiq-research.

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• Starting a backend for aiq-research
• Running AI-Q through a terminal or browser
• Deploying AI-Q to a Kubernetes cluster

Plan DNA variant detection workflows by identifying the assay and sample model, then routing to germline, cancer somatic, or molecular-barcode panel skills. It also supports focused local BAM/CRAM checks with variant files, depth summaries, and optional filters.

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• Choosing a workflow for WGS, WES, or DNA panels
• Routing inherited, cancer, and molecular-barcode analyses
• Checking reference genomes and required input files

Check whether a next-generation sequencing workflow has the tools, packages, reference data, and databases it needs. Generate installation and resource setup plans, record available resources, and compare them before rerunning an analysis.

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• Check installed tools before starting a sequencing workflow
• Prepare an installation plan for missing packages
• Audit reference data and database readiness

Prepare single-cell or single-nucleus RNA-seq analysis by checking inputs and selecting workflows that turn FASTQ sequencing files into count matrices. Route quality checks, cell annotation, clustering, and UMAP visualization to the embedded downstream skill.

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• Start single-cell RNA-seq analysis from FASTQ files
• Choose a workflow for generating count matrices
• Route existing matrices to quality checks and cell annotation

Analyze Mixpanel data with Python to explore usage trends, conversion steps, returning users, and differences between user groups. Also manage business context documents that explain an organization's structure and goals to AI assistants.

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• Find where users drop out before purchasing
• Compare retention across user groups
• Explore feature usage and revenue trends

Routes bulk RNA-seq requests to workflows for generating expression counts and checking quality, or comparing gene expression between groups. Checks input data, sample information, and analysis requirements before directing the next step.

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• Generate expression counts from FASTQ files
• Compare gene expression between sample groups
• Plan quality checks and statistical analysis together

Find the right workflow for next-generation sequencing data by inspecting files and clarifying only missing setup details. Receive a recommended analysis skill, checks of available tools, and plans for software installation and reference data.

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• Choosing an analysis workflow from sequencing files
• Clarifying requirements for RNA-seq or variant analysis
• Checking tools and preparing an installation plan

Validate FASTQ sequencing files, run local quality checks, and interpret reports to decide whether trimming is needed. Optionally remove adapters or low-quality read ends while preserving original reads and their quality reports.

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• Check sequencing quality before downstream analysis
• Summarize quality reports across multiple samples
• Assess whether adapter or quality trimming is needed

Turn conversations and notes into structured Notion pages, including wiki entries, how-to guides, FAQs, and decision logs. Capture context and sources, connect related pages, and maintain owners and status as information changes.

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• Turn team conversations into wiki entries
• Record decisions and their rationale
• Create FAQs from recurring questions

Look up Gene Ontology terms, which classify gene functions, and their links to gene products through QuickGO. Get concise summaries, explore broader or narrower terms, and save full responses when needed.

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• Looking up GO term details
• Checking GO annotations for a gene product
• Exploring broader and narrower GO terms

Plan or run ATAC-seq analysis to identify accessible DNA regions. Check sequencing quality, align reads, detect peaks, combine evidence across replicate samples, and prepare comparisons between conditions with quality summaries and visualization tracks.

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• Check the quality of ATAC-seq samples
• Detect accessible DNA regions from FASTQ or BAM files
• Build consensus peaks across replicate samples

Plan or run inherited DNA variant detection from whole-genome, exome, or targeted-panel sequencing. Check reference compatibility, sample quality, and combined analysis across samples, with documented commands, resource versions, and paths to variant and annotation outputs.

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• Planning inherited DNA variant detection from sequencing data
• Preparing joint variant analysis for cohorts or families
• Checking reference resources and sequencing quality

Query ProteomeXchange through its PROXI API to inspect datasets, libraries, proteins, peptide forms, and spectra. Receive concise summaries focused on a dataset or identifier, and save complete responses when more detail is needed.

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• Inspect a dataset by its identifier
• Check proteins, peptide forms, and spectrum matches
• Retrieve spectra and USI identifier examples

Plan or run bulk RNA-seq analysis to find genes whose expression differs between conditions. Check sample replication, study design, batch effects, and data quality, then produce comparison tables, diagnostic plots, and ranked gene lists.

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• Comparing gene expression between experimental conditions
• Planning analyses with donor pairing or batch variables
• Checking sample quality with PCA and distance plots

Plan or run bulk RNA-seq processing from sequencing reads to count matrices, tables of expression counts across samples. Check sample metadata, reference consistency, read mapping, and quantification quality, and produce summaries for downstream analysis.

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• Generate count matrices from FASTQ files
• Check reference files and sample metadata
• Review mapping and quantification quality

Analyze marker-gene sequencing data to study microbial communities. Supports FASTQ quality checks and, with primers, metadata, and taxonomy resources, workflows that produce sequence variant tables, taxonomic assignments, diversity measurements, and plots.

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• Check amplicon FASTQ quality and analysis readiness
• Generate sequence variant and taxonomy tables
• Visualize microbial diversity and taxon composition

Build or review quality control workflows for single-cell and single-nucleus RNA sequencing data. Select filters from observed data, detect doublets, assign cell types, and create UMAP plots that summarize cell relationships, while recording analysis decisions and outputs.

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• Choosing quality filters from dataset distributions
• Detecting doublets and checking ambient RNA
• Assigning cell types using references or marker genes

Manage Mixpanel Headless login and connection settings, check credentials, and switch accounts, projects, or workspaces. Save named combinations of these settings as targets so an agent can select the intended connection together.

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• Check the active account and project
• Set up login and test credentials
• Switch projects or workspaces

Find and inspect UI components in MagicPath, add them to an app, and adapt their behavior and styling. Apply themes or create and edit canvas components from code, including work based on an existing repository interface.

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• Find UI components and add them to an app
• Apply a MagicPath theme to an interface
• Create or edit a component on the canvas

Look up one genetic variant in UKB-TOPMed and summarize its associations with traits. Accept rsID identifiers or GRCh37 and GRCh38 coordinates, resolve the required query format, and report association totals and any result truncation.

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• Look up trait associations for a variant identified by rsID
• Query UKB-TOPMed using GRCh37 coordinates
• Review a limited set of associations and the total count

Query STRING for protein interaction networks, interaction partners, and enrichment results showing functions common in a gene set. Receive concise summaries with limited result counts, with options for machine-readable JSON or saved full results.

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• Checking a protein’s interaction network
• Finding interaction partners for a protein
• Reviewing functions enriched in a gene set

Retrieve focused information from PubChem, including molecular formulas, molecular weights, compound descriptions, assay summaries, and substance metadata. Get concise Markdown summaries, with the option to save the full response for further use.

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• Looking up a compound's molecular formula and weight
• Getting a short description from a compound ID
• Checking an assay summary

Plan or run quality checks and peak calling, which identifies enriched genomic regions, for ChIP-seq, CUT&RUN, and CUT&Tag. The workflow accounts for controls and replicates and prepares signal tracks, quality reports, and differential binding designs.

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• Check data quality and enrichment signals
• Choose narrow or broad peaks for the biological target
• Create bigWig tracks and quality dashboards