"Analyze conversion funnels and identify drop-offs. Use when: analyzing checkout funnel; tracking signup flow; identifying conversion blockers; optimizing user journey; visualizing funnel performance"
Resources
1Install
npx skillscat add guia-matthieu/clawfu-skills/funnel-analyzer Install via the SkillsCat registry.
We need to produce a 2-3 sentence plain-text summary, objective, factual, no marketing language, no superlatives, no calls to action. Must be natural prose, no bullet points, no headings, no markdown. At most 60 words. Provide only the summary text. Let's craft: "The funnel-analyzer skill processes conversion funnel data to calculate drop‑off rates between defined stages and generate simple visualizations. It helps developers and analysts pinpoint where users abandon flows such as checkout or signup sequences.
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
pip install pandas clickCommands
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.htmlSkill 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