About funnel-analyzer
A skill for analyzing conversion funnels, aimed at teams investigating stage drop-offs and optimization opportunities. It processes CSV data through command-line scripts and provides visualization frameworks; it cannot access data itself or replace business judgment.
Key features
- 01Analyze funnels by specified stages
- 02Identify drop-off between stages
- 03Calculate statistical measures
- 04Generate funnel visualizations
- 05Run command-line scripts on CSV data
Use cases
- 01Review conversion from visits to paid users
- 02Locate drop-off during signup or trial
- 03Create charts from funnel data
- 04Organize data patterns for optimization discussions
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ guia-matthieu/ clawfu-skills --skill funnel-analyzerAfter installing, type/funnel-analyzerin Claude Code to confirm it loaded.
Bundled filesscripts/main.pyscripts/requirements.txt
Details
From the project READMEFunnel Analyzer
Analyze conversion funnels to identify drop-off points and optimization opportunities.
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures analysis frameworks | Metric definitions |
| Identifies patterns in data | Business interpretation |
| Creates visualization templates | Dashboard design |
| Suggests optimization areas | Action priorities |
| Calculates statistical measures | Decision thresholds |
Dependencies
pip install pandas click
Commands
python scripts/main.py analyze data.csv --stages "visit,signup,trial,paid"
python scripts/main.py dropoff funnel.csv
python scripts/main.py visualize funnel.csv --output funnel-chart.html
Skill Boundaries
What This Skill Does Well
- Structuring data analysis
- Identifying patterns and trends
- Creating visualization frameworks
- Calculating statistical measures
What This Skill Cannot Do
- Access your actual data
- Replace statistical expertise
- Make business decisions
- Guarantee prediction accuracy
Skill Metadata
- Mode: centaur
category: analytics
dependencies: [pandas]
difficulty: intermediate
Comments
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