Agent skill · research science · personamanagmentlayer

biological-expert

Expert-level biology, biotechnology, genetics, bioinformatics, and computational biology. Use when the user mentions biology, biotechnology, genetics, bioinformatics, or genomics, or when the task involves Molecular Biology, Genomics & Bioinformatics, Systems Biology, or Data Analysis.

Why this skill is useful

Provides domain-specific knowledge and executable Python scripts for DNA sequence analysis that the AI wouldn't reliably generate on its own.

What it needs

Requires biopython installed locally. About 4k tokens when loaded. Last updated 2026-03-30. 41 stars on the source repository.

What this skill does

Biological Sciences Expert Expert guidance for biology, biotechnology, genetics, bioinformatics, and computational biology applications. Core Concepts Molecular Biology DNA, RNA, and protein structure Central dogma (transcription, translation) Gene expression and regulation Genetic mutations and variations CRISPR and gene editing Protein folding and structure Genomics & Bioinformatics DNA sequencing (Sanger, NGS, long-read) Genome assembly and annotation Sequence alignment (BLAST, BLAT) Variant calling and analysis RNA-seq analysis Phylogenetic analysis Systems Biology Metabolic pathways Protein-protein interactions Gene regulatory networks Mathematical modeling Pathway analysis Network biology DNA Sequence Analysis Sequence Alignment Genomic Variant Analysis RNA-seq Analysis Best Practices Data Analysis Use appropriate statistical tests Account for multiple testing correction Validate results with independent methods Document data preprocessing steps Use version control for analysis scripts Maintain reproducible workflows Sequence Analysis Quality control of sequencing data Use appropriate reference genomes Validate variant calls Consider batch effects Use established bioinformatics tools Benchmark against known datasets Computational Biology Use efficient data structures for large datasets Parallelize computationally intensive tasks Validate biological interpretations Consult domain experts Document assumptions clearly Use standardized file formats (FASTA, VCF, BAM) Anti-Patterns ❌ No quality control of input data ❌ Ignoring batch effects ❌ No multiple testing correction ❌ Over-interpreting correlations ❌ Inadequate sample sizes ❌ Not validating computational predictions ❌ Ignoring biological context Resources Biopython: https://biopython.org/ NCBI Resources: https://www.ncbi.nlm.nih.gov/ Ensembl: https://www.ensembl.org/ Galaxy Project: https://galaxyproject.org/ Bioconductor: https://www.bioconductor.org/

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills personamanagmentlayer/biological-expert

View the source on GitHub

Browse the @skills marketplace