Skill UI

Centralizes proven red team methodologies into an automated reconnaissance and vulnerability discovery workflow that sequences asset discovery, live host validation, fingerprinting, content hunting, and exploit surface analysis for bug bounty and defensive assessments.

This technique audits user interaction flows (like button clicks) to detect subtle bugs that static analysis often misses. It specifically tracks the full sequence of state changes, identifying instances where later actions unintentionally cancel, contradict, or leave the UI in an inconsistent state due to state store side effects or race conditions. Ideal for debugging complex state management architectures (Redux, Zustand).

This skill provides integration with the Adaptyv Bio Foundry API, enabling the automated design, submission, and analysis of protein experiments. Users can submit amino acid sequences for various high-throughput assays, including binding kinetics (BLI/SPR), thermostability, and expression yield. It guides the entire research workflow, from sequence input to final results retrieval, accelerating biopharma discovery.

Pysam is a comprehensive Python toolkit for handling genomic data. It provides a Pythonic interface for reading, writing, and manipulating essential genomic formats, including SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences. It is critical for developing robust bioinformatics pipelines, performing coverage analysis, and analyzing genetic variations.

This skill runs a comprehensive, sequenced pipeline (Patterns 1-5) to structurally analyze a monolithic codebase. It inventories components, detects domain duplication, resolves hierarchy issues, measures inter-module coupling, and groups components into candidate, domain-aligned services. It is essential for architects planning service extraction, providing actionable metrics and DDD insights before refactoring or splitting the application.