Skill UI

This Python toolset provides production-grade campaign performance analysis including multi-touch attribution modeling, funnel conversion analysis, and ROI calculation. It includes three CLI tools for analyzing ROAS, CPA, and channel effectiveness without external dependencies. Ideal for marketing teams reviewing ad spend and optimizing budget allocation based on deterministic analytics.

Automates funnel analysis builder workflows by offering guidance on SQL, visualization, statistics, and BI best practices for data analytics teams needing production-ready insights.

This skill guides you through integrating PostHog's Customer Data Platform (CDP) features. It covers setting up webhooks to trigger real-time actions (e.g., syncing to CRM, sending notifications) when specific user events occur. Furthermore, it demonstrates how to query event data using the Events API and perform complex funnel analysis using HogQL, allowing for deep, custom insights into user behavior.

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 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.

This comprehensive guide provides advanced workflows for interacting with ClickHouse. It covers efficient bulk data insertion (CSV, JSON), complex analytical querying (funnel analysis, retention), implementing materialized views for pre-aggregation, and utilizing powerful window functions. Ideal for building high-performance OLAP dashboards and executing large-scale data transformations.

A comprehensive coach designed to prepare individuals for top-tier strategy consulting interviews (MBB, Big Four). It covers structured problem-solving, mastering core consulting frameworks (MECE, Hypothesis-driven thinking), building compelling narratives, and handling specific case types (Profitability, M&A, Market Sizing). Ideal for candidates aiming to master the entire consulting recruiting funnel, from behavioral interviews to complex case analysis.

This skill guides users on automating fundraising workflow analysis using local data methods. Since Finta lacks a public API, it teaches how to export pipeline data (CSV) and use Python (Pandas) scripts to calculate key funnel metrics, conversion rates, and generate detailed weekly reports for investor tracking and reporting.

A comprehensive framework for structuring deep-dive product data analysis, including funnel analysis, metric triage, and cohort studies. This guide forces the analyst to answer four critical questions: What changed, Why did it change, What is the impact, and What should we do next, ensuring insights lead directly to actionable business recommendations.

A comprehensive tool for designing, mapping, and optimizing end-to-end marketing and sales funnels. It assists in customer journey mapping, attribution modeling, conversion path diagnosis, and gap analysis across various business models (B2B SaaS, e-commerce, etc.). Ideal for improving lead nurture flows and maximizing conversion rates.

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.

A comprehensive skill for advanced meta-analysis in psychology, designed to assess the reliability and sources of heterogeneity. It performs moderator/subgroup analyses (meta-regression) to explain effect size variation and runs multiple publication-bias diagnostics (e.g., Funnel plot, Egger's test, p-curve, selection models). Essential for rigorous academic reporting requiring robust evidence and sensitivity checks.