Skill UI

This advanced tool utilizes the Digital Human DNA (DHDNA) framework to extract a comprehensive cognitive signature from any piece of text. It analyzes the author's unique thinking patterns, reasoning methods, decision-making styles, and core values across 12 detailed dimensions (e.g., Analytical Depth, Ethical Reasoning, Emotional Processing). It provides a structured profile, revealing the topology of the mind behind the writing, without judgment.

A comprehensive toolkit for developing and executing genomics pipelines on the DNAnexus cloud platform. It provides capabilities for app/applet building, managing large biomedical datasets (FASTQ, BAM, VCF), orchestrating complex workflows, and interacting programmatically using the dxpy Python SDK.

The ESM skill provides comprehensive tools for computational biology, leveraging ESM3 and ESM-C models. It enables sophisticated protein sequence generation, structure prediction (sequence to 3D structure), inverse folding (structure to sequence design), and generating function-conditioned proteins. Use it for de novo protein design, feature embedding, and advanced structural analysis in bioinformatics workflows.

ETE is a comprehensive toolkit for phylogenomic research, designed to handle and analyze hierarchical tree structures. It supports various tree formats (Newick, NHX) and provides advanced functionalities such as detecting evolutionary events (duplication/speciation), identifying orthologs/paralogs, integrating with NCBI taxonomy for lineage tracking, and generating publication-quality visualizations in PDF/SVG.

This skill performs comprehensive Exploratory Data Analysis (EDA) on specialized scientific datasets. It supports over 200 file formats across diverse domains, including chemistry (PDB), bioinformatics (FASTA, BAM), microscopy (TIFF), and spectroscopy. The system automatically detects the file type, assesses data quality and integrity, and generates detailed, format-specific markdown reports, providing deep insights and recommending downstream analyses.

FluidSim is an object-oriented Python framework for high-performance Computational Fluid Dynamics (CFD) simulations. It provides specialized solvers for complex equations like 2D/3D Navier-Stokes, shallow water, and stratified flows. Utilizing pseudospectral methods with FFT, the framework supports parallel computing (MPI) and offers a complete workflow, including parameter configuration, simulation execution, and advanced post-processing and visualization.

Geniml is a comprehensive Python package designed for applying machine learning models to genomic interval data, typically stored in BED files. It provides several unsupervised methods—including Region2Vec and BEDspace—to learn robust embeddings of genomic regions, single cells (scATAC-seq), and associated metadata. Use cases include dimensionality reduction, structural variation analysis, cell-type annotation, and cross-modal querying in genomics research.

Ginkgo Cloud Lab provides remote access to an advanced autonomous lab infrastructure, enabling users to submit and manage complex molecular biology protocols. It supports diverse applications including protein expression and purification (cell-free, E. coli, Pichia), quantitative assays (HiBiT, A280, LabChip), nucleic acid synthesis (IVT mRNA/circRNA), and characterization techniques (Thermal Shift, Echo-MS, SPR). The platform features an AI agent (EstiMate) for custom workflow feasibility and pricing.

This skill provides comprehensive tools to analyze and engineer protein glycosylation patterns. It scans amino acid sequences for canonical N-glycosylation sequons (N-X-S/T) and predicts O-glycosylation hotspots. Use cases include optimizing therapeutic antibodies, designing vaccine antigens, and characterizing biosimilars by rationally modifying glycan structures for improved stability, function, or immune evasion.

Gtars is a high-performance toolkit written in Rust with Python bindings, designed for comprehensive analysis of genomic interval data. It provides specialized modules for overlap detection, generating coverage tracks (WIG/BigWig), tokenization for Machine Learning models, and detailed fragment analysis in single-cell genomics. Use it for robust bioinformatics pipelines and computational genomics research.

A comprehensive toolkit for medical device manufacturers seeking ISO 13485 certification. This skill guides users through gap analysis, creating mandatory Quality Management System (QMS) documentation, and ensuring compliance with global medical device regulations (e.g., EU MDR, FDA QMSR). It provides templates, guidance, and structured processes for foundational QMS documents like Quality Manuals and CAPA procedures.

This skill analyzes the implementation gap by comparing approved feature requirements against the existing codebase, architecture, and context. It helps identify missing capabilities, potential integration challenges, and necessary technical research areas. The output provides multiple viable implementation options and a comprehensive analysis report, guiding the transition from requirements definition to technical design.