chief-data-officer-advisor

v2.9.0

Chief Data Officer advisory: AI training data audit (origin x class x use-case matrix with GDPR Art. 6 + EU AI Act citations -> GO/MITIGATE/NO-GO per source), data product strategy picker (warehouse vs lakehouse vs mesh + 6-layer build-vs-buy + 12-month sequencing), data asset valuator (strategic value 0-10 + M&A multiplier with carve-out penalties + 3 ranked productization paths). 4 references answering one decision each: training rights, data product strategy, customer-data-as-asset, data team org evolution. Stdlib-only. Standalone-installable; also bundled in c-level-skills. Strategic only - does not duplicate engineering data skills.

Claude Code1 skill

by Alireza RezvaniMIT24.2kupdated 10 hours ago

Source

$ git clone https://github.com/alirezarezvani/claude-skills

Clone the source, then follow the repository's marketplace instructions for your runtime. The plugin root is c-level-advisor/chief-data-officer-advisor/ inside the repository.

Layout

c-level-advisor/chief-data-officer-advisor/

├── .claude-plugin/plugin.json
└── skills/chief-data-officer-advisor/SKILL.md

Skills1

chief-data-officer-advisorskills/chief-data-officer-advisor/SKILL.md

Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill — strategic decisions only.

Manifests1

c-level-advisor/chief-data-officer-advisor/.claude-plugin/plugin.json

{
  "name": "chief-data-officer-advisor",
  "description": "Chief Data Officer advisory: AI training data audit (origin x class x use-case matrix with GDPR Art. 6 + EU AI Act citations -> GO/MITIGATE/NO-GO per source), data product strategy picker (warehouse vs lakehouse vs mesh + 6-layer build-vs-buy + 12-month sequencing), data asset valuator (strategic value 0-10 + M&A multiplier with carve-out penalties + 3 ranked productization paths). 4 references answering one decision each: training rights, data product strategy, customer-data-as-asset, data team org evolution. Stdlib-only. Standalone-installable; also bundled in c-level-skills. Strategic only - does not duplicate engineering data skills.",
  "version": "2.9.0",
  "author": {
    "name": "Alireza Rezvani",
    "url": "https://alirezarezvani.com"
  },
  "homepage": "https://github.com/alirezarezvani/claude-skills/tree/main/c-level-advisor/chief-data-officer-advisor",
  "repository": "https://github.com/alirezarezvani/claude-skills",
  "license": "MIT",
  "skills": [
    "./skills"
  ]
}