Skill UI

Query Ensembl’s RESTful API to access gene annotations, sequences, variants, orthologs, and assembly mappings across 250+ species, enabling integration into genomic research pipelines.

Access NCBI Gene data via E-utilities or Datasets API to look up genes by symbol or ID, retrieve RefSeqs, GO terms, chromosomal locations, phenotypes, and run batch workflows for annotation pipelines.

LaminDB is a Python-driven open-source framework for managing biological datasets, ensuring traceable, reproducible, FAIR data through lineage tracking, schema validation, ontology annotation, workflow integration, and lakehouse-style querying.

Manage microscopy data with the OMERO Python API: access projects/datasets/images, retrieve and analyze pixel data, handle ROIs and annotations, store results in tables, and automate batch workflows for high-content screening.

Scanpy is a scalable Python toolkit for single-cell RNA-seq analyses, covering QC, normalization, dimensionality reduction, clustering, marker discovery, annotation, and publication-ready visualization across h5ad/10X/CSV datasets.

Transforms data into publication-ready figures with multi-panel layouts, precise annotations, colorblind-friendly palettes, and journal formatting using matplotlib, seaborn, and plotly plus export helpers for PDF/EPS/TIFF.

Direct REST API access to UniProt for searching proteins, fetching FASTA sequences, mapping identifiers, selecting annotations, and streaming large datasets within Python workflows.

A comprehensive guide for managing secrets and environment variables throughout the entire development lifecycle, from local development to production. This skill covers secret leak auditing (detecting committed credentials), implementing robust rotation workflows, and integrating with industry-leading secret stores like HashiCorp Vault, AWS Secrets Manager, and Azure Key Vault. Essential for hardening CI/CD pipelines and ensuring compliance.

Query gnomAD via GraphQL to retrieve allele frequencies, constraint scores, and loss-of-function annotations for population-informed variant interpretation and rare disease gene prioritization.

Query InterPro for protein family, domain, and GO annotations via a REST API with Python helpers, enabling function prediction, domain architecture mapping, and evolutionary classification insights for proteomic workflows.

This skill provides comprehensive functionality for querying, comparing, and calculating nutritional data from a structured food database. Users can perform precise searches by food name or nutritional criteria (e.g., high protein, low GI). It supports calculating total nutrient intake based on specific portions, suggesting foods for various health conditions (like diabetes or high blood pressure), and performing detailed comparative analysis between multiple food items.

Guides configuration and optimization of Odoo Sales and CRM, covering pipeline stages, quotation templates, pricelists, sales teams, lead assignment, and forecasting to standardize workflows and boost closure rates.