Skill UI

This skill allows users to manage and switch between different active brand profiles within a multi-client or agency environment. It is essential for maintaining context accuracy across diverse workflows. Users can list all available brands, switch the active profile using a unique brand slug, and review key brand attributes. It ensures that all subsequent generated content adheres to the correct brand's voice, compliance rules, and business context.

This tool facilitates rapid, side-by-side comparison of 2-4 digital marketing scenarios. Users can test different budget allocations, channel mixes, or strategic approaches to project potential outcomes (revenue, ROI, risk). It is a fast, directional alternative to complex simulations, perfect for quick decision-making in team meetings or planning sessions.

Share durable context and handoffs between AI agents like Claude and Codex via the local ECC Memory Vault. Use this skill to save work state, transfer context, resume tasks, or search shared project knowledge across different agent harnesses.

A comprehensive guide outlining rigorous data analysis and reporting standards for geographic manuscripts. It covers spatial statistics, remote sensing accuracy, and qualitative interpretation, emphasizing spatial honesty, quantifying uncertainty, and ensuring results are robust across different scales and units.

This guide provides a comprehensive framework for positioning mobile and embedded systems manuscripts for ACM MobiSys. It details venue fit, contribution framing, necessary real-device evidence, and how to differentiate the work from related conferences (e.g., MobiCom, UbiComp). Use this when your research value depends on surviving real-world device constraints, sensing, or edge computing environments.

A comprehensive guide for researchers to determine the academic positioning of their manuscripts. It differentiates between core accounting issues (e.g., disclosure quality, audit standards, earnings management) and corporate finance mechanisms (e.g., pricing, funding constraints). Use this tool to ensure your paper aligns perfectly with the scope of specialized academic journals.

This guide provides comprehensive econometric methodologies for establishing causality in accounting and finance research. It covers advanced techniques such as Difference-in-Differences (DID), Propensity Score Matching (PSM), Heckman selection models, and Instrumental Variables (IV), emphasizing the correct handling of regulatory changes and external shocks to meet top-tier academic standards.

This guide provides a rigorous framework for defending causal identification claims in empirical microeconomics, tailored for top-tier journals like AEJ: Applied. It covers modern techniques and anti-patterns for RCTs, Difference-in-Differences (DiD), Regression Discontinuity (RDD), and Instrumental Variables (IV), ensuring the mapping from variation to the causal estimand is explicit, defensible, and falsifiable.

A guide for authors needing to precisely position their theoretical contribution against existing literature. It teaches how to identify the 'delta'—the exact difference (e.g., weaker assumption, new environment, full characterization)—relative to the single closest academic result, rather than making vague claims about the field as a whole.

This guide helps researchers determine if their microeconomic theory, model, or experiment is suitable for American Economic Journal: Microeconomics (AEJ: Micro). It provides a structured framework for evaluating the contribution's scope, assessing broad microeconomic interest, and differentiating the appropriate venue from competing specialist journals like JET, Econometrica, or AEJ: Applied.

This guide provides stringent methodological standards for establishing credible causal claims in empirical policy manuscripts. It covers advanced econometric techniques—including Difference-in-Differences (DiD), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and Randomized Controlled Trials (RCT)—required to move beyond mere correlation and prove that the observed effect is genuinely caused by the policy intervention.

This guide provides rigorous methodological guidelines for ensuring the identification strategy in high-impact empirical economics papers (AER: Insights). It covers key areas including Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), Instrumental Variables (IV), and structural parameter identification. It emphasizes the need for extreme methodological clarity, transparency, and conciseness required for top-tier academic publication.