cyberneticlibrary

Predict churn and find expansion opportunities

customer-success-managerskillsetup L217,464
alirezarezvani/claude-skills
What it does

Score customer health and churn risk

Best for

Scoring customer health and churn risk deterministically using weighted multi-dimension models without external ML.

Inputs
  • · JSON customer portfolio
  • · health/churn/expansion metrics
Outputs
  • · health scores
  • · churn risk tiers
  • · expansion recommendations
Requires
  • · Python CLI (stdlib only)
Preconditions

None specified

Failure modes
  • · Missing schema fields
  • · Invalid ARR values
  • · Date parsing errors
Trust signals
  • · DQS scoring formula documented
  • · Python tools run deterministically (no ML)
  • · JSON I/O for pipeline integration