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chief-customer-officer-advisor

100/100
Skill
by Alireza Rezvani@alirezarezvani
MIT

Chief Customer Officer advisory for startups: retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy), customer segmentation strategy (differential investment across tiers + ICP fit scoring), CS team coverage model (pooled vs named CSM thresholds + ratio math), and CS team org evolution (CS vs Support vs AM distinctions). Use when designing retention strategy, segmenting customers for differential investment, sizing CS team, or sequencing CS hires. Strategic only — does not duplicate engineering/business-growth tactical skills.

SourceDownload

Review Scores

Security35/35Maintain.35/35Usability30/30
Security35/35
Maintain.35/35
Usability30/30
Evidence:
high
Reviewed Jun 14, 2026
Fresh

Reviewed Version

1.0.0

Latest Version

Unknown

Freshness

Reviewed 0 days ago.

Scores reflect the version reviewed and may change with updates.

Security Audit - 1 Finding

Audited Jun 14, 2026
audit-incomplete
Could not fetch package.json: 404

Overview

When to Use

When NOT to Use

Setup

Refer to the Quick Start section in the SKILL.md for installation and usage of the Python scripts.

Troubleshooting

Scenes

customer-success
retention
marketing
leadership

Tags

CCO
chief customer officer
customer success
retention strategy
gross retention
net retention
NRR
GRR
churn
segmentation
CSM
customer lifetime value

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Skill

Install

Refer to the Quick Start section in the SKILL.md for installation and usage of the Python scripts.
Download SKILL.md

CldKit CLI

cldkit install chief-customer-officer-advisor
cldkit info chief-customer-officer-advisor

Install CLI: npm i -g @cldkit/cli

Version

1.0.0

Stars

18,060

License

MIT

Compatibility

Claude Code
OpenAI Codex
Gemini CLI
OpenClaw
Hermes Agent
Mistral Vibe
Cursor
Aider
Windsurf
Kilo Code
OpenCode
Augment
Antigravity

Links

GitHub Source@alirezarezvani