Skill UI

Automates the end-to-end process of launching paid ad campaigns across major digital platforms like Google, Meta, LinkedIn, and TikTok. It handles campaign structure, advanced audience targeting, bid strategy configuration, and includes mandatory budget safeguards and compliance checks. Use this tool for complex, high-stakes campaigns requiring rigorous pre-launch approval and deep performance monitoring.

This guide outlines best practices for ensuring rigorous reproducibility of complex interaction claims, especially in game theory and multi-agent systems (MAS). It details required evidence for proofs, experimental setups (agents, opponents, seeds, compute), and consistency checks between the paper's claims and the provided artifacts. Essential for high-stakes academic submissions like AAMAS.

This comprehensive guide provides expert strategies for structuring and auditing the "Related Work" section for top-tier NLP conferences (like ACL). It covers citation hygiene (Anthology vs. arXiv), maintaining temporal freshness against rapidly evolving baselines, and articulating clear technical contrasts to prove the novelty of your research. Essential for high-stakes academic publishing.

A comprehensive framework designed to rigorously test the stability of key macroeconomic findings. This program addresses potential biases arising from specification choices, sample periods (e.g., Great Moderation, ZLB, COVID breaks), and methodological variations (SVAR vs. LP). It ensures that the reported headline quantity remains robust even when challenged by a skeptical academic referee, providing a targeted defense rather than simply listing extra tables. Ideal for high-stakes empirical macro papers.

A comprehensive guide for authors preparing a rebuttal and response letter after a major journal revision (e.g., R&R). It structures the response to referees and editors, emphasizing the policy contribution and addressing every comment point-by-point. The guide stresses the need for evidence-led arguments, strengthening the welfare/policy reading, and ensuring reproducibility standards are met to successfully resubmit high-stakes academic research.

This skill provides a comprehensive, end-to-end workflow guide for academic journal submissions, specifically tailored for Acta Electronica Sinica (AES). It maps the entire publishing journey—from topic selection and research design to submission, review tracking, revision, and final publication—into a structured timeline. It helps authors manage complex decision points, adhere to strict deadlines (like the 6-month response window), and avoid common pitfalls, ensuring a systematic approach to high-stakes scholarly publishing.

This guide provides detailed instructions for structuring the introduction of academic manuscripts, particularly for high-stakes, double-blind review journals. It teaches authors how to frame their research contribution by engaging a live, recognized academic debate, precisely locating the marginal intellectual gap, and strictly maintaining anonymity through third-person self-citation.

A comprehensive guide for strengthening the methodological rigor of academic manuscripts, particularly for high-stakes journals. It covers advanced techniques for causal identification (e.g., Difference-in-Differences, Instrumental Variables, Regression Discontinuity), pre-analysis planning, linking theory to empirical tests, and defending claims against skeptical reviewers. This skill focuses on methodological architecture, not code.

This guide provides a detailed strategy for responding to a Revise-and-Resubmit (R&R) decision for high-stakes academic journals. It teaches authors how to structure a persuasive cover letter, address conflicting reviewer demands, and reconcile feedback without weakening the paper's core contribution. Focuses on maintaining scholarly rigor and managing editor expectations.

This skill guides the process of elevating specific empirical findings into general, portable theoretical contributions suitable for high-level academic journals. It focuses on structuring the core argument by explicitly defining mechanisms, scope conditions, observable implications, and conceptual stakes, transforming mere results into discipline-level theory.

This skill audits academic literature reviews (like Annual Reviews of Psychology) to ensure they maintain scholarly rigor, balance, and objectivity. It checks for uneven coverage across different labs or theories, ensures evidence is weighted by design strength and replication status (not mere vote-counting), and flags potential self-promotion or bias. Use this when scrutinizing a high-stakes scientific review for academic fairness.

A comprehensive guide for authors revising academic review articles, particularly for high-stakes journals. It teaches structured methods for addressing common referee feedback, such as coverage gaps, balance complaints, structural weaknesses, and accessibility issues. Use this guide to transform critical feedback into a robust, publishable revision plan, ensuring methodological transparency and scholarly rigor.