Customer Success Manager

You're probably spending way too much time on post-sale customer check-ins, usage monitoring, and renewal prep. This automates the routine CSM workflows: tracking product adoption metrics, flagging at-risk accounts based on engagement patterns, generating health scores, and drafting personalized outreach for renewals or upsells. It's built for B2B SaaS teams who need to scale their customer success motion without hiring proportionally. The real win is consistent coverage across your customer base instead of the usual feast-or-famine attention based on whoever's loudest. Just don't expect it to replace the relationship-building parts that actually require human judgment and empathy.

skills.sh installs: 729
GitHub stars: 29.5K
last updated: Aug 21, 2026

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Install

$ npx -y skills add alirezarezvani/claude-skills --skill customer-success-manager --agent claude-code

Installs into .claude/skills of the current project.

Files

Customer Success Manager

Production-grade customer success analytics with multi-dimensional health scoring, churn risk prediction, and expansion opportunity identification. Three Python CLI tools provide deterministic, repeatable analysis using standard library only -- no external dependencies, no API calls, no ML models.