Biological Expert

This gives Claude capabilities for molecular biology and bioinformatics work. You get DNA/RNA sequence analysis with GC content calculation, ORF finding, and motif searching, plus sequence alignment using Needleman-Wunsch and Smith-Waterman algorithms. It handles genomic variant annotation, classifying SNVs and indels, and includes RNA-seq differential expression analysis scaffolding. Built on Biopython, so you can process FASTA files, translate sequences, and run basic computational biology pipelines. The code is practical starter material rather than production-grade tooling, but it covers the standard workflows if you're analyzing genomic data or building bioinformatics prototypes. Good for researchers who want to script their analysis without starting from scratch.

skills.sh installs: 233
GitHub stars: 44
last updated: Aug 21, 2026

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Install

$ npx -y skills add personamanagmentlayer/pcl --skill biological-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

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

from Bio import SeqIO, Seq
from Bio.Seq import Seq
from Bio.SeqUtils import gc_fraction, molecular_weight
from typing import Dict, List

class DNAAnalyzer:
    """Analyze DNA sequences"""

    def __init__(self, sequence: str):
        self.sequence = Seq(sequence.upper())

SKILL.md on GitHub