chief-customer-officer-advisor
Agent skill fromalirezarezvani/claude-skills
Use for retention strategy, customer segmentation or CS team sizing decisions (GRR vs NRR, churn causes, pooled vs named CSMs). Runs retention_decomposition_analyzer.py, customer_segmentation_designer.py and cs_coverage_calculator.py.
How to install chief-customer-officer-advisor
install chief-customer-officer-advisor
# install the claude-skills pack with the skills CLI
npx skills add alirezarezvani/claude-skills# or add only this skill to Claude Code: copy the folder
c-level-advisor/skills/chief-customer-officer-advisor/
# into
~/.claude/skills/chief-customer-officer-advisor/ (all projects)
.claude/skills/chief-customer-officer-advisor/ (one project)
1# Chief Customer Officer Advisor23Strategic customer leadership for startup CCOs and founders without one. **Four decisions, no generic CS survey:**451. **What's our retention architecture — and is gross retention vs NRR honest?** — decomposition into gross retention, contraction, expansion + churn root-cause taxonomy62. **How do we segment customers for differential investment?** — tier design + ICP fit scoring + investment-per-segment math73. **What's the CS team's coverage model — and when do we go pooled vs named?** — coverage ratio calculator + transition thresholds84. **What CS role do we hire next?** — stage-to-role map (CS ≠ Support ≠ AM ≠ Implementation)910This skill does **not** cover tactical CS implementation. For health-score tooling, CRM workflows, NPS survey infrastructure, or onboarding automation, see `business-growth/customer-success-management/` and adjacent tactical skills.1112## Keywords13…
Excerpt shown under the repository's MIT license.
