Skill UI

This comprehensive skill acts as a venue-selection and re-framing tool for authors targeting The Lancet Oncology. It provides deep insight into the journal's specific requirements, including methodological rigor (CONSORT, PRISMA), required evidence strength (Phase III RCTs, definitive biomarkers), structural elements (structured abstract, 'Added value' panel), and current submission best practices. Use this guide to assess if your clinical oncology manuscript is sufficiently advanced and impactful for this prestigious global journal.

A comprehensive guide for designing, auditing, and reporting advanced statistical and causal inference experiments. It emphasizes moving beyond simple accuracy metrics to quantify uncertainty, model robustness, and causal mechanisms. Covers metrics like coverage, KL divergence, and regret, and outlines best practices for seeding, compute fairness, and creating standardized reporting blocks (e.g., UAI standards).

This guide details advanced best practices for achieving scientific reproducibility in probabilistic modeling and deep learning research. It mandates rigorous disclosure of seeds, hyperparameters, diagnostic traces (e.g., R-hat, ELBO), and compute environments to ensure that all claims made in academic papers are verifiably backed by traceable evidence. It elevates reproducibility from a simple code run to a comprehensive audit.

A comprehensive audit guide for submitting full papers to IEEE VIS. It covers the complex, multi-stage submission process, requiring authors to adhere to journal-quality standards (IEEE TVCG). The guide details the strict deadlines for abstracts, full papers, and supplemental materials, along with critical mechanics like the 9+2 page budget, proper society/track selection, and advanced double-blind anonymization techniques.

A rigorous checklist and guide for conducting causal inference in development economics, specifically tailored to the high standards of top-tier journals like The World Bank Economic Review (WBER). It covers advanced econometric designs (RCT, DiD, RD, IV), focusing not just on estimation but on defining the estimand, addressing external validity, general equilibrium effects, and translating local findings into actionable policy recommendations.

This skill provides a comprehensive framework for targeting and revising academic manuscripts for the journal World Economic Studies. It analyzes the journal's scope, focusing on globalization, open strategy, international trade, and regional economics. It guides users on required advanced methodologies (e.g., GVC decomposition, panel data), structural mandates, and common submission pitfalls to ensure manuscripts meet high academic standards.

This guide helps scholars rigorously defend the methodological design of academic papers, particularly in International Relations and Comparative Politics. It covers advanced techniques such as process tracing, case selection logic, quantitative cross-national panel data analysis (DID, IV, RDD), and experimental design. Its core purpose is to strengthen causal claims by explicitly addressing selection bias, defining scope conditions, and ruling out major rival explanations.

A comprehensive guide for allocating content across academic conference submissions, ensuring critical evidence is visible within strict page limits. It defines rules for triaging material into decisive (body), supporting (appendix/repo), and archival (repository) categories, along with advanced compression tactics for tables and proofs.

Biopython is a comprehensive Python library designed for computational molecular biology. It provides robust tools for handling biological sequences (DNA, RNA, Protein), structural analysis (PDB), sequence alignment, phylogenetic tree construction, and interfacing with major public databases like NCBI (Entrez). Ideal for researchers performing advanced bioinformatics tasks.

Cirq is a powerful, open-source Python framework developed by Google Quantum AI. It allows users to design, simulate, and execute complex quantum circuits. It supports advanced features including parameterized circuits, noise modeling, circuit transformation, and seamless integration with multiple quantum hardware backends (e.g., IonQ, Google Quantum, Pasqal).

Exa MCP provides advanced neural search capabilities across the web, specialized code repositories (like GitHub), and corporate/personnel databases. Use it for deep background research, finding the latest news, debugging complex code patterns, or conducting thorough market and competitor analysis.

This skill generates high-quality images, textures, icons, and visual assets from text prompts using advanced AI models. It supports multiple providers, including OpenAI (DALL-E) and Google Gemini, offering flexibility in quality and speed. Ideal for rapid prototyping, game asset creation, artwork, and visual mockups across various projects. Requires configuration with an API key.