Skill UI

This comprehensive guide provides structured steps and code examples for upgrading Databricks Runtime versions and performing critical data migrations. It covers best practices for version compatibility checking, transitioning from Hive Metastore to Unity Catalog using methods like SYNC and CTAS, and updating deprecated API endpoints, ensuring a smooth platform evolution for data pipelines.

Query InterPro for protein family, domain, and GO annotations via a REST API with Python helpers, enabling function prediction, domain architecture mapping, and evolutionary classification insights for proteomic workflows.

A comprehensive toolkit for reconstructing and analyzing the evolutionary history of biological sequences (genes, proteins, genomes). The standard workflow includes multiple sequence alignment using MAFFT, robust maximum likelihood tree inference with IQ-TREE 2 and FastTree, and advanced visualization/manipulation using ETE3. This skill is essential for studies in viral phylodynamics, microbial genomics, protein family evolution, and molecular clock dating.

Analyzes, manipulates, compares, and visualizes phylogenetic or hierarchical trees. Supports Newick/Nexus I/O, topology edits, Robinson-Foulds comparisons, gene-tree evolutionary events, NCBI/GTDB taxonomy queries, and publication rendering. Works with existing trees after alignment and inference, not for inferring from raw sequences.

This skill enables the construction and analysis of phylogenetic trees using tools like MAFFT for alignment, IQ-TREE 2 for maximum likelihood inference, and FastTree for large datasets. It supports evolutionary analysis, microbial genomics, viral phylodynamics, and molecular clock studies. Visualization is handled via ETE3 or FigTree. Ideal for inferring evolutionary relationships, detecting horizontal gene transfer, and reconstructing ancestral sequences in biological research.

This specialized skill provides a robust framework for tracking and updating financial investment signals. It systematically assesses the impact of new market information—such as breaking news or price movements—on existing investment theses. The system determines if a signal is Strengthened, Weakened, Falsified, or Unchanged, providing a crucial layer of continuous signal validation for sophisticated financial decision-making.

A comprehensive guide for authors publishing in economic geography journals, detailing how to structure manuscripts to satisfy both economic and geographical communities. It provides methodological advice on transitioning between formal NEG/quantitative-spatial models and conceptual/evolutionary frameworks, ensuring that the underlying mechanisms and assumptions are transparent and testable.

This skill assesses the suitability and required rigor of a manuscript for the Molecular Biology and Evolution journal. It provides comprehensive guidelines covering specific scopes (e.g., population genetics, phylogenetics, positive selection), necessary methodological standards (including uncertainty quantification and addressing selection bias), and structural requirements for high-impact submissions in molecular evolution and genomics.

A comprehensive guide for researchers targeting Molecular Ecology. It outlines the journal's scope, emphasizing that molecular methods must serve a clear ecological or evolutionary question, rather than being an end in themselves. It details required analyses (e.g., population genomics, phylogeography, eDNA), methodological rigor, and specific submission guidelines, ensuring the study's biological interpretation is strong and hypothesis-driven.

JurisRank is a computational tool that analyzes citation networks of Argentine Supreme Court (CSJN) jurisprudence using a peer-reviewed PageRank algorithm with temporal decay. It measures the jurisprudential authority of legal precedents, allowing users to rank competing cases by influence, trace the evolution of legal doctrine, and detect potential constitutional drift. Ideal for intensive legal research, due diligence, and academic analysis of legal trends in Argentina.

A specialized skill for academic researchers and legal professionals, designed to search, map, and analyze French doctoral theses (thèses.fr/HAL). It supports multi-criteria querying (subject, director, jury, institution) and advanced academic mapping, allowing users to track the evolution of legal sub-disciplines and academic networks over time. Highly focused on French law.

Analyze weather radar and satellite observations as remote-sensing data: validate product metadata, geometry and calibration, derive storm and cloud structures, track their evolution, and quantify uncertainty for short-term nowcasting.