Skill UI

Provides a comprehensive guide for modern Vue.js 3 development. It covers the Composition API, optimal component architecture (props, emits), reactive state management using Pinia, advanced routing (Vue Router), and Nuxt/SSR patterns. Use this skill when building, reviewing, or architecting large-scale, maintainable Vue applications.

This guide outlines the rigorous methodology of 'close looking' crucial for academic art writing, particularly for Art Bulletin articles. It teaches how to move beyond mere description by systematically analyzing composition, facture, medium, and scale. Every visual claim must be supported by reproducible evidence, such as numbered figures or detail crops, ensuring the argument is grounded in verifiable observation, not mere assertion.

This comprehensive guide details the rigorous standards for conducting and reporting advanced demographic analyses. It covers essential techniques, including constructing accurate rates, performing decomposition, generating life tables, and handling event history/survival data. The core focus is on methodological rigor, ensuring the reproducibility of results, and honestly reporting uncertainty (e.g., confidence and credible intervals) to meet the standards of expert peer review.

This guide assists users in structuring and rigorously defending the methodological design for demographic manuscripts. It provides detailed guidance on selecting and justifying advanced techniques—including life tables, decomposition analysis, survival models, Age-Period-Cohort (APC) modeling, and microsimulation. It emphasizes critical steps like establishing identification assumptions, addressing causal biases (selection and exposure), and formulating an adjudication test to rule out rival explanations, ensuring the research is methodologically robust.

A detailed guide for modeling the complete academic peer-review lifecycle, specifically tailored to the ECCV conference structure. It covers the timeline from submission through rebuttal and AC discussion to final decision, detailing critical points such as co-author enforcement regimes, LLM policy adherence, panel reviewer composition, and strategic points influencing the final outcome. Essential for researchers targeting top-tier vision conferences.

This guide teaches how to restructure complex econometric tables and figures for manuscripts intended for a dual audience of professional economists and non-technical policymakers. The focus is on clarity, interpretability, and impact, ensuring that the main text presents policy-relevant findings (e.g., event studies, welfare decomposition) while relegating dense technical details (full regression dumps, diagnostics) to the appendix. It emphasizes translating standard coefficients into meaningful units like jobs or % of GDP.

A comprehensive guide for advanced econometric techniques in causal inference, covering modern approaches for quasi-experimental designs such as staggered Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and Double Machine Learning (DML). It details best practices, critical diagnostic tests (e.g., weak instruments, parallel trend checks, bias decomposition), and robust reporting standards required for high-impact economic research.

This guide provides a comprehensive framework for designing rigorous, falsifiable system evaluations for academic research papers. It details best practices across four critical evidence layers: end-to-end performance, mechanism decomposition, operational cost, and boundary testing. Learn how to ensure workload realism, maintain baseline fairness, structure your experiment matrix, and avoid common pitfalls to meet top-tier systems research standards.

This comprehensive guide outlines the high standards and scope required for publishing in Food Chemistry. It emphasizes rigorous analytical chemistry, detailed method validation (LOD/LOQ, precision), quantified compositional results, and strong chemical mechanism interpretation. Use this tool to assess whether your manuscript meets the necessary scientific rigor for this specialized journal.

A comprehensive guide for conducting reproducible empirical analysis in labor economics, adhering to high academic standards (e.g., JOLE norms). It covers essential steps including sample construction from CPS/ACS/registers, advanced wage decompositions (Oaxaca/RIF), proper handling of standard errors, and robust sensitivity checks to ensure results are fully replicable.

This guide provides detailed instructions on writing the policy implications section for manuscripts submitted to quantitative journals (like JQTE). It emphasizes grounding all policy recommendations in the paper's specific quantitative findings (measurement, forecasting, or decomposition results), ensuring the advice is actionable, timely, and relevant to planning, industry, and technology decisions.

Provides comprehensive guidelines for building and validating complex structural economic models, including CGE, IO, and Structural Decomposition. It emphasizes mandatory elements like explicit data sourcing, parameter calibration, macroeconomic closure rules, and scenario reproducibility to ensure models are not 'black boxes' and are scientifically rigorous.