Skill UI

Guides creators already near product-market fit to grow an organic audience through free, authentic content, consistent scheduling, email ownership, and build-in-public feedback before spending on ads.

A comprehensive, AI-powered suite designed to generate high-quality, platform-optimized content for LinkedIn. It creates full posts, multi-slide carousels, long-form newsletters, and 30-day content calendars. The tool integrates niche-specific SEO rules and features a reinforcement-learning memory system, ensuring that your content style and performance improve with every piece of feedback.

This guide details the entire review process for the Journal of Marketing Research (JMR), from initial editorial screening and potential desk rejection to the double-anonymized peer review stage. It explains the EIC/Coeditor routing model, the requirement for two independent reviews for acceptance, and provides guidance on interpreting critical feedback (rigor vs. substance) found in decision letters. Use this before submission to set expectations, or after receiving a decision to understand the core concerns.

This skill is a comprehensive guide for authors to evaluate the suitability of their marketing manuscript for top-tier journals like the Journal of the Academy of Marketing Science (JAMS). It assesses the theoretical grounding, empirical rigor (e.g., SEM, econometrics), market fit, and adherence to academic publishing standards, providing actionable feedback on improving scope and structure before submission.

This skill involves systematically monitoring developer conversations across technical platforms like GitHub, Reddit, and Stack Overflow to understand brand perception and competitive positioning. It helps identify user sentiment, find engagement opportunities, and gather unfiltered product feedback. By tracking mentions and discussions, you can detect churn risks, discover content gaps, and respond to buy intent signals effectively.