Skill UI

This comprehensive guide provides researchers with structured methodologies for designing and auditing Computer Vision (CV) experiments for major conferences like WACV. It details the critical differences between the Applications and Algorithms tracks, emphasizing the need to report performance under real deployment constraints (e.g., power, latency) and ensuring fair, rigorous comparisons with baselines. Ideal for revising submissions to meet high review standards.

This comprehensive guide is designed for authors submitting manuscripts in water science or engineering. It details the high standards, scope, and expected rigor for the flagship journal, Water Research. It covers the necessary depth of mechanistic or methodological advances, strict experimental design requirements (including mass balances and controls), and the IMRaD structure required for publication.

A comprehensive guide for researchers handling academic revisions after receiving a journal decision letter (R&R). It teaches how to triage critical feedback from multiple referees, prioritize the editor's synthesis, structure detailed point-by-point responses using quantitative evidence, and sequence the revision work to maximize the chances of publication.

A comprehensive strategy guide for submitting academic papers to The World Bank Economic Review (WBER). It teaches researchers how to anticipate and preempt common criticisms from development-economics referees (identification flaws, policy relevance, data quality) and how to structure the cover letter to maximize acceptance chances.

This guide provides a structured framework for conducting and presenting robust checks in econometric manuscripts, particularly relevant for studies using developing-country data. It moves beyond simple appendix dumping by organizing tests around potential identification threats and specific data-quality risks (e.g., measurement error, coverage gaps). It helps ensure the core findings are load-bearing against sophisticated academic scrutiny.

A comprehensive guide detailing when and how to structure theoretical models in development economics research, particularly for World Bank Economic Review submissions. It emphasizes that models must serve a functional purpose—such as interpreting empirical coefficients, running policy counterfactuals, or aggregating to welfare statements—rather than being decorative. Key principles cover parameter identification, matching structural frictions to the local setting, and handling counterfactual assumptions (Lucas critique).

This guide provides a comprehensive framework for authors writing for development economics journals, specifically addressing the need to bridge the gap between rigorous econometric analysis and actionable policy advice. It teaches how to structure introductions, write concise abstracts, and frame findings by emphasizing policy magnitudes over statistical significance, ensuring the work speaks to both technical economists and non-specialist policymakers.

Provides comprehensive guidelines for packaging and submitting research artifacts (datasets, models, code) for major conferences. It details the difference between mere 'existence' (badge verification) and true academic 'reproducibility,' covering archival strategies, web data licensing, takedown resilience, and minimal viable package structure for long-term scholarly impact.

This comprehensive guide details the strategic process of writing a high-impact rebuttal for major academic conferences. It teaches users how to triage mixed reviewer feedback, differentiate between in-track, adjacent-track, and web-fit objections, and structure responses using concrete evidence, specific citations, and confident concessions to maximize the paper's acceptance chances.

A comprehensive guide for authors submitting papers to web conferences. It details how to structure empirical claims, ensuring evidence matches the claim's scope (scale, freshness, generalizability). The guide covers avoiding methodological flaws like temporal or popularity leakage, selecting datasets with proper provenance, and performing rigorous ablations and statistical analysis for maximum academic rigor.

A comprehensive guide for authors drafting or revising academic papers for Web Conference (WWW). It teaches how to structure the paper around a web-native mechanism, quantify scale, and write for a mixed computing and social science audience. Learn best practices for page-one impact, compression, and stylistic details to maximize review scores.

webmcpify is a specialized pipeline designed to make existing web applications agent-ready. It extracts user-facing functionality and exposes it as WebMCP tools, allowing AI agents to interact with the application via structured, reliable tool calls rather than fragile DOM scraping. The tool guides developers through detection, inventory, integration, verification, and healing phases to ensure robust AI interoperability.