Explore skills

Viral phylodynamics: molecular clocks, root-to-tip regression, time-scaled phylogenies, Bayesian skyline plots, and phylogeography tool selection.

PPI network construction and analysis with NetworkX and STRING DB: centrality metrics, hub/bottleneck classification, scale-free properties, and community detection.

Core promoter elements: TATA box, CpG islands, PWM construction, and TFBS scanning. Companion reference card to bio-applied-regulatory-analysis.

RDKit fundamentals: SMILES parsing, molecular properties, substructure search, fingerprints, and chemical similarity. Use when performing cheminformatics operations in Python.

Performs promoter and regulatory sequence analysis, including TATA box detection, CpG island scanning, PWM/PFM construction, and TFBS scanning, serving as a reference for computational promoter analysis.

Performs CRISPR screen quality control and normalization, including library distribution QC, Gini index, replicate correlation, and count normalization, for use when processing CRISPR screen count matrices.

Custom iterators for bioinformatics, including codon iteration, k-mer generation, streaming FASTA/FASTQ, and lazy sequence processing patterns.

SNP calling pipeline featuring Trimmomatic, HISAT2/BWA-MEM2 alignment, samtools/bcftools variant calling, and ANNOVAR annotation.

Minimum spanning trees — Kruskal's (Union-Find, O(E log E)) and Prim's (heap, O((V+E) log V)), MST clustering.

This skill performs 5-layer attack chain analysis on AWS, Azure, and GCP configurations, identifying exploitable misconfigurations, mapping them to real-world breaches, and generating adversary narratives. It is invoked explicitly with /skycenter or by asking 'use skycenter to analyze this config', and is not auto-triggered by general security questions.

Tries, Aho-Corasick multi-pattern matching, suffix arrays with LCP, and suffix trees for genome indexing.

Big O notation, complexity classes, space vs time trade-offs, and complexity analysis rules.