Browse skills

Official aws skill covering data modeling, AWS, security for software development workflows.

Access and query davila7's GWAS database to retrieve genetic association data for specified traits or genes.

Scvi Tools provides access to SIVe (Single-cell Variational Inference) analysis tools for single-cell RNA sequencing data interpretation and exploration.

Connects to and queries PostgreSQL databases using optimized SQL generation and data retrieval capabilities.

Access and query Davila7's curated gene database for information on genes, variants, and associated research findings.

Retrieve clinically relevant genetic variant information, pathogenicity classifications, and supporting evidence from ClinVar.

Automates Datadog metric creation, dashboards, monitors, and alerts based on provided configuration files.

Access and query Davila7's curated metabolomics workbench database for compound IDs, spectral data, and experimental contexts.

Access and query protein data banks like PDB using structured queries to retrieve experimental structural information.

Visualize and explore Reactome pathway data directly within your application using this interactive database integration.

Access and query Davila7's curated clinical pharmacogenomics (clincPGX) database for personalized medication guidance.

Automates data pipeline creation, transformation, and loading from diverse sources into usable formats.

This skill provides a specialized frontend component (MDR 745) built by davila7 for enhanced user interactions and data display.

Provides data modeling guidance and assistance for software development workflows.

Access and query ChEMBL's vast chemical and bioactivity data to find compounds, targets, and experimental results.

Provides data guidance and assistance for software development workflows.

Provides data guidance and assistance for software development workflows.

Provides Java guidance and assistance for software development workflows.

Reads, writes, and manipulates data stored in Zarr format using Python libraries for efficient large dataset handling.

Lamindb allows you to quickly query and extract data from various databases using natural language, streamlining your information retrieval process.

Analyzes datasets, builds predictive models, and generates actionable insights using statistical methods and machine learning techniques.

Astropy provides interactive astronomical data visualization tools, enabling users to explore and analyze celestial objects effectively.

Efficiently stores, retrieves, and manipulates text strings within a structured database for complex data analysis tasks.

Access and query Davila7's Brenda database of biological resources, including genes, proteins, and metabolites.