Skill UI

This skill helps plan product launches, feature announcements, and release strategies. It covers the ORB framework for Owned, Rented, and Borrowed channels to build momentum. It ensures readiness before launch using the SLC principle (Simple, Lovable, Complete). Ideal for GTM planning, pre-launch QA, and converting interest into users for SaaS products and public releases.

This skill transforms raw marketing data into comprehensive, narrative-driven performance reports. It goes beyond simple metrics tracking by performing trend analysis, detecting anomalies, benchmarking against industry standards, and generating actionable, prioritized recommendations. Ideal for stakeholders needing an executive summary or detailed channel commentary.

A powerful skill designed to analyze raw ad campaign performance data from platforms like Google, Meta, and LinkedIn. It goes beyond simple metrics reporting, providing deep diagnosis by identifying underperforming ads, pinpointing budget waste, and calculating the true Customer Acquisition Cost (CAC). It generates concrete, actionable recommendations for what to cut, scale, or test next, optimizing your ad spend and maximizing ROAS.

This skill provides deep intelligence by systematically scraping and analyzing a competitor's paid advertising campaigns across platforms like Meta and Google. It goes beyond simple ad collection, performing structured analysis on creative patterns, common hooks (e.g., Fear/Loss, Outcome), CTAs, and reverse-engineering their landing page funnels to reveal their core positioning and potential vulnerabilities. Ideal for product marketing, growth strategy, and campaign optimization.

This tool provides a statistically rigorous framework for analyzing a user's private LinkedIn post performance data. It moves beyond simple averages, utilizing median/MAD and permutation testing to determine if observed patterns are genuine or statistical noise. It guides users through three steps: descriptive analysis, pattern mining, and sizing future A/B experiments, ensuring hypotheses are testable and avoiding over-conclusion. Works only with your own exported data.

This skill helps users draft meaningful LinkedIn comments that add value beyond simple agreement. It analyzes posts to find gaps, such as missing context or counterexamples, ensuring comments are substantive and standalone. Ideal for engaging with creators or improving social media presence without appearing promotional or insincere.