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funnel-analyzer

Analyze conversion funnels and identify drop-off points using pandas and click.

145|28|Updated Jan 31, 2026
Search Tags:#data visualization#user journey#conversion optimization#funnel analysis#drop-off points
One-click install
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill funnel-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: funnel-analyzer
Source: https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/analytics/funnel-analyzer
Command: npx skills add https://github.com/guia-matthieu/clawfu-skills --skill funnel-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, click, and includes scripts (resource) components.

What problem does it solve?

This Skill helps identify bottlenecks and drop-off points within conversion funnels, enabling targeted optimization efforts.

Core Features & Use Cases

  • Funnel Structuring: Organizes data analysis frameworks for conversion funnels.
  • Pattern Identification: Detects trends and anomalies in user journey data.
  • Visualization Templates: Generates frameworks for visualizing funnel performance.
  • Use Case: Analyze your website's signup flow to pinpoint where users abandon the process and why.

Quick Start

Analyze the funnel data in 'data.csv' using the stages 'visit,signup,trial,paid'.

Frequently Asked Questions about funnel-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze conversion funnels to identify drop-off points in a user journey?▼

To analyze conversion funnels and identify drop-off points, this Skill processes structured CSV data to detect where users abandon the user journey. It organizes data into specified stages to pinpoint bottlenecks.

How do I track a website signup flow using pandas and command-line execution?▼

You can track a website signup flow by providing a structured data file like 'data.csv' to the command-line interface. The Skill leverages pandas to manipulate the data and calculates user retention across defined stages such as visit, signup, trial, and paid.

What structured data format do I need for funnel analysis with this command-line tool?▼

Funnel analysis with this command-line tool requires structured CSV data containing your user journey events. You must define the sequential stages, such as visit, signup, trial, and paid, for the pandas script to process.

What is the best way to visualize funnel performance and detect anomalies in conversion data?▼

The best way to visualize funnel performance is by generating visualization templates from your structured data. This Skill detects trends and anomalies in user journey data, creating frameworks to help optimize conversion rates.

Does this conversion funnel analyzer work with any other data visualization libraries besides pandas?▼

The conversion funnel analyzer relies specifically on pandas for data manipulation and click for the command-line interface. The metadata does not indicate support for additional data visualization libraries.

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