Skill UI

This guide provides a comprehensive framework for designing statistically rigorous A/B tests, split tests, and multivariate experiments. It covers everything from formulating strong hypotheses and calculating sample sizes to selecting appropriate primary, secondary, and guardrail metrics for various business contexts.

A comprehensive guide for developing high-impact email marketing campaigns. Covers full lifecycle strategies, including welcome sequences, nurturing workflows, and promotional campaigns. Learn how to optimize deliverability, improve open and click rates, segment audiences, and build effective automation funnels using industry best practices and A/B testing techniques for maximum conversion.

This skill generates a comprehensive and structured test strategy document. Given a feature specification, PRD, or system description, it systematically outlines the test scope, performs a detailed risk assessment, defines necessary test types (Unit, E2E, Performance, Security), and provides a prioritized, actionable test case outline to ensure robust quality assurance before release.

This comprehensive guide details how to build a robust, ransomware-resilient backup architecture using the extended 3-2-1-1-0 methodology. It covers defining Recovery Point/Time Objectives (RPO/RTO), configuring multiple isolated copies (local, offsite, immutable/air-gapped), strictly isolating backup credentials, and automating regular restore testing. Essential for organizations requiring high cyber resilience against modern threats.

A comprehensive strategy for regression testing in AI-assisted development. It focuses on identifying systematic blind spots, such as schema inconsistencies between sandbox and production paths, and integrating automated bug checks into the development workflow. This guide teaches how to build robust, database-free API tests to ensure code quality when AI models contribute to the codebase.

A comprehensive tool for analyzing the current market regime (bull, bear, ranging, volatile) using advanced neural models. It detects the prevailing market structure, provides a confidence score, and recommends suitable trading strategies. Ideal for market analysis, backtesting preparation, or general market condition inquiries.

This tool assesses creative fatigue across all active advertising channels. It scores creatives based on multiple decline signals (CTR, CPM, engagement, frequency) to predict when performance will drop. It generates actionable refresh briefs, recommends specific changes, and creates structured A/B test plans to maximize ad spend and maintain campaign performance throughout the entire creative lifecycle.

A comprehensive guide for authors targeting the ACM SIGIR conference on Information Retrieval. This skill helps determine the venue fit, structure the manuscript narrative, and ensure the research meets the high standards expected by top-tier IR reviewers. It covers core topics like search, ranking, recommendation, and the necessary evidence bar (e.g., strong baselines, test collections) for successful submission.

This comprehensive guide helps authors stress-test their manuscripts against the highly specialized and rigorous objections typically raised by expert referees for the American Economic Journal: Microeconomics (AEJ: Micro). It provides a crucial checklist to pre-empt common criticisms regarding assumptions, theoretical positioning, proof completeness, and general contribution, significantly improving the manuscript's readiness for submission.

This skill acts as a workflow router, guiding researchers through the entire manuscript lifecycle for submissions to American Economic Journal: Microeconomics (AEJ: Micro). It does not write the paper, but diagnoses the current bottleneck—whether it's topic selection, model refinement, empirical testing, or rebuttal strategy—and specifies which specialized aejmic-* sub-skill to invoke next, ensuring the paper aligns with the specific requirements of AEJ: Micro. Triggered when users are unsure what step to take next, or when revising based on reviewer comments.

A comprehensive strategy guide for mathematical authors to stress-test their proofs before submission. It outlines how expert academic referees rigorously review work, advising on strengthening weak steps, verifying external theorems, clarifying the core argument, and handling boundary cases to significantly improve the manuscript's rigor and chances of acceptance.

A comprehensive guide to establishing credible causal identification strategies for economic empirical research. It covers advanced quasi-experimental methods such as Difference-in-Differences (DID), Instrumental Variables (IV), and Regression Discontinuity (RDD), alongside structural modeling. The core principle emphasizes the necessity of explicitly stating, empirically defending, and testing all identification assumptions to meet the rigorous standards of top-tier academic economics journals.