Unify access to genomic databases and analyses via CLI and Python.
npx skills add https://github.com/SciMate-AI/scicli --skill gget-scimate-ai
Please help me install this Agent Skill. Skill: gget Source: https://github.com/SciMate-AI/scicli/tree/main/internal/skills/bundled/claude-scientific-skills/skills/gget Command: npx skills add https://github.com/SciMate-AI/scicli --skill gget-scimate-ai
gget provides a unified command-line and Python API to access dozens of genomic databases and analysis tools, simplifying exploratory research and reproducible workflows.
Launch a quick analysis by searching a gene, retrieving metadata, and fetching sequences in a single command flow.
High-intent search queries and answers about installing and using this skill.
You can query multiple genomic databases using a unified CLI and Python interface that connects to Ensembl, UniProt, NCBI, and others. This allows you to retrieve gene metadata and fetch sequences across 20+ databases in a single workflow.
Yes, enrichment analysis and disease association queries can be performed without switching tools. The unified interface accesses OpenTargets, cBioPortal, COSMIC, and ARCHS4 directly to retrieve disease and drug associations for genomic data.
The best way to retrieve sequences and structural predictions is using a unified CLI that fetches sequence data and integrates AlphaFold. It automates end-to-end genomic data exploration by unifying access to structural and sequence databases.
Yes, standard Python tooling is required. The interface provides specific setup commands for AlphaFold, cellxgene, and related dependencies to ensure reproducible workflows when accessing single-cell data and structural predictions.
Data caching and module setup ensure reproducible genomic workflows by storing query results and standardizing dependency versions. This maintains consistent analyses across multiple runs when accessing biological databases like Ensembl and NCBI.
Automating genomic exploration across 20+ databases requires standard Python tooling and specific setup for dependencies like AlphaFold and cellxgene. Limitations include the need for external dependency management and module version references to maintain reproducibility.
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