Update SKILL.md files to add double quotation marks for all skills, ensuring clarity and consistency across all entries.

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Haoxuan "Orion" Li
2025-10-20 20:51:50 -07:00
parent c0fa308af8
commit c2b16829f6
68 changed files with 68 additions and 68 deletions

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name: gget
description: Comprehensive bioinformatics toolkit for genomic database queries, sequence analysis, and molecular biology workflows. Use this skill for: gene information retrieval (Ensembl, UniProt, NCBI), sequence analysis (BLAST, BLAT, multiple sequence alignment), protein structure prediction (AlphaFold), gene expression analysis (ARCHS4, single-cell RNA-seq), enrichment analysis (Enrichr), disease and drug associations (OpenTargets), cancer genomics (cBioPortal, COSMIC), orthology analysis (Bgee), reference genome downloads, mutation analysis, and comparative genomics. Handles nucleotide/amino acid sequences, gene symbols, Ensembl IDs, UniProt accessions, PDB structures, mutation annotations, tissue expression data, and genomic annotations. Supports both command-line and Python interfaces with automatic database updates and comprehensive error handling for reliable bioinformatics analysis workflows.
description: "Comprehensive bioinformatics toolkit for genomic database queries, sequence analysis, and molecular biology workflows. Use this skill for: gene information retrieval (Ensembl, UniProt, NCBI), sequence analysis (BLAST, BLAT, multiple sequence alignment), protein structure prediction (AlphaFold), gene expression analysis (ARCHS4, single-cell RNA-seq), enrichment analysis (Enrichr), disease and drug associations (OpenTargets), cancer genomics (cBioPortal, COSMIC), orthology analysis (Bgee), reference genome downloads, mutation analysis, and comparative genomics. Handles nucleotide/amino acid sequences, gene symbols, Ensembl IDs, UniProt accessions, PDB structures, mutation annotations, tissue expression data, and genomic annotations. Supports both command-line and Python interfaces with automatic database updates and comprehensive error handling for reliable bioinformatics analysis workflows."
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# gget