Skill UI

This utility collects comprehensive debug information for troubleshooting complex issues related to Clerk authentication. It generates an environment report, runtime health checks, client-side debug panel data, and middleware logs. Use this tool when preparing detailed support tickets or diagnosing intermittent, hard-to-reproduce bugs.

A modern, dark-themed UI component library built with React, Tailwind CSS, and Framer Motion. It provides a comprehensive set of components and styles ideal for developing professional dashboards, admin panels, and data-rich applications. Features include advanced glassmorphism effects and tasteful, smooth animations to enhance user experience.

This comprehensive guide outlines the process of migrating analytics data from major platforms like Google Analytics, Mixpanel, Amplitude, or Segment to PostHog. It covers implementing a dual-write strategy, mapping historical event names and properties, and performing bulk historical data imports, ensuring a smooth transition and data continuity.

Transforms data into publication-ready figures with multi-panel layouts, precise annotations, colorblind-friendly palettes, and journal formatting using matplotlib, seaborn, and plotly plus export helpers for PDF/EPS/TIFF.

A comprehensive guide to product analytics, covering essential concepts like event tracking (PostHog, Mixpanel), funnels, cohort analysis, retention metrics, North Star Metrics, and OKR setting. Use this skill to define data-driven product strategies, optimize user journeys, and build robust performance dashboards.

A comprehensive guide detailing the methodology for identifying and exploiting Server-Side Request Forgery (SSRF). This technique is critical in authorized penetration testing, allowing attackers to pivot from public-facing applications to internal resources. Use cases include stealing cloud provider metadata (AWS, GCP), scanning private IP ranges, and accessing internal APIs and admin panels.

A comprehensive automation toolkit for Mixpanel product analytics, accessible via Rube MCP. Automate key data tasks including event aggregation, detailed segmentation, conversion funnel analysis, user profile management, cohort tracking, and running custom JQL queries. Ideal for data analysts and product managers needing to deeply analyze user behavior patterns.

Seaborn is a high-level Python visualization library built on Matplotlib, designed specifically for creating publication-quality statistical graphics. It excels at dataset-oriented plotting, enabling users to perform complex multivariate analyses, visualize data distributions (like box plots, violin plots), and explore relationships with minimal code. It simplifies the process of generating multi-panel figures and statistical plots directly from pandas DataFrames.

This module provides essential abstractions for managing language data within the admin panel. It includes `LanguageDto` for strongly typed data structures and `useLanguages` hook for fetching and handling language-related state and logic. Use this when developing administrative features that require language catalog management.

A comprehensive tool designed to audit and ensure the consistency of brand entity data across critical online knowledge sources, including Wikidata, Google Knowledge Panel, and Wikipedia. It systematically checks key properties like founding date, HQ location, and official website against the brand's source of truth profile, flagging discrepancies to protect AI engine trust and maximize digital visibility. Essential for global brand managers and digital marketers.

This tool simulates market demand using synthetic audience panels grounded in real CRM data to estimate customers' willingness-to-pay (WTP). It calculates optimal price points, acceptable price ranges, and analyzes price sensitivity across different buyer segments. Use this command to guide pricing strategies before product launch, tier adjustments, or competitive positioning evaluation, providing actionable intelligence without expensive formal research.

A comprehensive guide detailing the strategic design principles for high-impact figures in Advanced Materials manuscripts. It covers structuring multi-panel characterization data, creating a compelling lead figure, designing an effective Table-of-Contents graphic, and adhering to professional publishing standards (e.g., two-column layout, color-blind safety). Use this when optimizing raw data into a coherent, visually stunning scientific narrative.