What problem does it solve?
Scientific data often lives outside what dedicated tools return: tools may only give metadata, truncate results to 10-100 records, or not exist for a source at all. This Skill provides universal patterns for downloading bulk records and parsing specialized formats (VCF, h5ad, BAM, SDF, GCT, mzML, NIfTI) directly with Python.
Core Features & Use Cases
- Format Cookbook: Ready-to-use Python snippets for parsing tabular, genomics, structural, omics, mass spectrometry, neuroimaging, phylogenetics, and compressed file formats.
- API Patterns by Domain: Direct REST API workflows for 24 domains including NCBI, EBI, GDC, CDC, GWAS Catalog, PubChem, ClinicalTrials.gov, and EuropePMC, with pagination, rate limiting, and retry logic.
- Restricted Source Guidance: Access requirements and programmatic download paths for credentialed sources like UK Biobank, dbGaP, MIMIC-IV, and ADNI.
- Use Case: You need all GWAS associations for diabetes. Instead of paginating a tool's limited results, download the full GWAS Catalog TSV and filter locally with pandas.
Quick Start
Ask the agent to download all ClinVar variants for a gene and parse them into a pandas DataFrame using the data wrangling patterns.