Install
$ agentstack add skill-ericwang915-data-scientist-skills-funnel-analysis ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Funnel Analysis
Purpose
Analyze step-by-step conversion funnels to identify where users drop off and why.
How It Works
Step 1: Define Funnel Steps
- List sequential steps (e.g., landing → signup → activation → purchase)
- Define conversion events for each step
- Set time window for step completion
Step 2: Calculate Metrics
- Step-by-step conversion rate
- Overall funnel conversion
- Drop-off rate at each step
- Time between steps (median, percentiles)
Step 3: Segment Analysis
- Compare funnels across segments (device, channel, user type)
- Identify segments with highest/lowest conversion
- Find step-specific segment differences
Step 4: Recommendations
- Prioritize by impact: biggest drop-off × easiest to fix
- Suggest A/B tests for friction points
- Benchmark against industry standards
Usage Examples
"Analyze our signup → onboarding → first purchase funnel by acquisition channel"
Output Format
- Funnel Visualization: Bar/funnel chart with drop-off rates
- Step Metrics: Conversion and drop-off per step
- Segment Comparison: Side-by-side funnels
- Recommendations: Prioritized optimization opportunities
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ericwang915
- Source: ericwang915/data-scientist-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.