customer-success-manager
Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models.
Best use case
customer-success-manager is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models.
Teams using customer-success-manager should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/customer-success-manager/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How customer-success-manager Compares
| Feature / Agent | customer-success-manager | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# customer-success-manager Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models. ## Install ``` npx clawhub@latest install customer-success-manager ```
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