Analyze conversion funnels and identify drop-offs. Use when: analyzing checkout funnel; tracking signup flow; identifying conversion blockers; optimizing user journey; visualizing funnel performance
Scanned 9/22/2026
Install to Claude Code
npx -y skills add NVlabs/Skill2Env --skill funnel-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: funnel-analyzer
description: "Analyze conversion funnels and identify drop-offs. Use when: analyzing checkout funnel; tracking signup flow; identifying conversion blockers; optimizing user journey; visualizing funnel performance"
license: MIT
metadata:
author: ClawFu
version: 1.0.0
mcp-server: "@clawfu/mcp-skills"
---
# Funnel 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
```bash
pip install pandas click
```
## Commands
```bash
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
```yaml
category: analytics
dependencies: [pandas]
difficulty: intermediate
```
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