Skill UI

High-performance Rust-backed tokenization toolkit with Python bindings, offering BPE/WordPiece/Unigram, custom vocabulary training, alignment tracking, and production-ready integrations for NLP pipelines.

This skill provides comprehensive guidance on achieving PCI DSS (Payment Card Industry Data Security Standard) compliance. It covers best practices for designing, implementing, and auditing secure payment processing systems, including network protection, data encryption, tokenization, and adhering to strict data minimization policies.

High-performance Rust toolkit with Python bindings for genomic interval analysis, covering overlap detection, coverage track generation, ML tokenization, reference sequence handling, fragment processing, and scoring workflows for sequencing datasets.

Gtars is a high-performance toolkit written in Rust with Python bindings, specialized for computational genomics. It provides advanced functionality for manipulating genomic interval data, including overlap detection (IGD), coverage track generation (BigWig), and genomic tokenization for machine learning preprocessing. Ideal for researchers working with BED files, single-cell data, and ML-driven biological models.