Skill UI

This skill generates a comprehensive, live snapshot of your marketing performance by pulling data from all connected analytics platforms (e.g., Google Analytics, Meta, LinkedIn). It compares current KPIs against defined brand targets, historical benchmarks, and industry averages. Use this for daily health checks, trend monitoring, and identifying immediate actionable insights across all channels.

Transforms complex raw campaign data and performance metrics into a cohesive, executive-level QBR presentation. This tool structures performance retrospectives, identifies root causes for underperformance, quantifies ROI, and develops data-backed strategic recommendations for the next quarter. Ideal for client reviews, leadership updates, and strategic planning sessions.

This guide outlines the strict transparency and data availability requirements for manuscripts submitted to the American Educational Research Journal (AERJ). It ensures adherence to AERA standards for reporting empirical social science research (both quantitative and qualitative) and the AERA Code of Ethics. It details how authors must make findings reproducible, whether by providing code and data access paths, or by documenting an inspectable analytic trail.

This comprehensive checklist guides authors through the final preflight stages of submitting a commissioned article to Annual Reviews of Economics (ARE). It ensures compliance with the publisher's specific requirements, including conflict-of-interest disclosure, data reproducibility for meta-analyses, systematic coverage documentation, and adherence to the unique house style. It is crucial for authors delivering an invited review, not for unsolicited submissions.

This detailed framework guides researchers in conducting rigorous and academically sound heterogeneity analysis for finance and economics manuscripts. It covers dimension prioritization, theoretical justification, sample size requirements, and statistical significance testing protocols (e.g., Chow test). Use this guide to strengthen the robustness of main findings and deepen the paper's contribution by identifying the specific conditions under which the effect operates.

This skill is a comprehensive fit assessment tool for authors submitting applied corporate finance manuscripts to the Financial Management journal. It guides users on the journal's specific scope, required empirical rigor, ideal article structure, and common desk-reject themes. It helps authors position their work for maximum relevance to both academics and industry practitioners.

A comprehensive skill for constructing robust theoretical arguments for entrepreneurial phenomena, specifically tailored for high-level academic journals. It guides the user in identifying the core causal mechanism, selecting the appropriate multidisciplinary lens (economics, psychology, or sociology), and choosing between deductive hypothesis testing or interpretive narrative theory. This ensures the theory is specific to the entrepreneurial context, avoiding generic organizational models.

This comprehensive skill provides an essential, step-by-step preflight checklist for authors submitting manuscripts to the Journal of Monetary Economics (JME) via Elsevier Editorial Manager. It covers critical, non-negotiable standards including length caps (40 pages, 10 tables/figures), abstract word count (≤100 words), required formatting (line numbers, author-date citations), mandatory declarations (AI, conflict of interest), and the required submission fee structure. Using this guide ensures your paper meets all journal-specific technical and structural requirements before final submiss...

This specialized skill is designed for creating investor pitch decks for various funding rounds (Seed, Series A/B/C). It builds upon standard presentation rules, adding critical VC-focused constraints such as stage-appropriate metrics, the canonical narrative arc (Problem -> Solution -> Market -> Ask), and finance-grade number conventions. Use this only when actively raising capital, not for general reviews.

Structured GDPR Article 35 Data Protection Impact Assessment guidance based on EDPB criteria, Opinion 28/2024, and national blacklists. Assists threshold decisions, full assessment (assets, necessity, proportionality, risk tracks, mitigations), Art. 36 consultation, and multi-jurisdictional analysis for high-risk processing like profiling, AI, biometrics, large-scale monitoring.

Automates the systematic review of Data Processing Agreements (DPA) to ensure compliance with GDPR Article 28, EDPB guidelines, and the AI Act. It generates a structured, clause-by-clause report, providing compliance diagnostics (green/yellow/red), actionable remediation suggestions, and critical questions for vendors. Essential for Data Protection Officers (DPOs) and privacy practitioners managing vendor risk.

This skill provides an analytical index of regulatory and doctrinal sources concerning the governance of French listed companies. It aggregates facts, statistics, and citations from key bodies like AMF, ESMA, and professional organizations. Its core principle is 'zero invention,' ensuring every output is rigorously source-cited to maintain objective, fact-based analysis, strictly distinguishing between legal obligations and soft law recommendations.