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Decision summary

Customer Lifetime Prediction Using Python is the strongest overall pick here because it has a 33/100 readiness score and fits Data analysis.

Strongest overall

Customer Lifetime Prediction Using Python

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

Customer Lifetime Prediction Using Python

Best first install candidate based on install readiness and adoption.

Freshest repo

Customer Lifetime Prediction Using Python

Most recent maintenance signal among this shortlist.

SignalCustomer Lifetime Prediction Using Python

What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.

Quality
43/100
Needs review
Decision verdict
33/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption167 stars
0 installs
FreshnessDec 4, 2022
Use-case fit
Data analysisSports analyticsCoding agents
Stack fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Data Analysis, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forData analysis workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add mukulsinghal001/customer-lifetime-prediction-using-python