Cdo Review

Generates a structured Chief Data Officer review covering data strategy, governance, analytics capabilities, and technology infrastructure. You'd use this when evaluating an organization's data maturity or preparing executive assessments. The output format appears designed for consistent reporting across organizations, which is helpful if you're comparing multiple companies or tracking progress over time. The main limitation is that it's a template generator rather than an analytical tool, so you're still doing the actual assessment work yourself. Good for standardizing C-suite reporting but won't replace subject matter expertise.

skills.sh installs: 383
GitHub stars: 29.5K
last updated: Aug 21, 2026

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Install

$ npx -y skills add alirezarezvani/claude-skills --skill cdo-review --agent claude-code

Installs into .claude/skills of the current project.

Files

/c-level-agents:cdo-review — CDO Forcing Questions

Command: /c-level-agents:cdo-review <plan>

The decision-driven CDO pressure-tests any plan that touches data strategy. Six questions before any commitment to a data architecture, AI training run, data productization, or data team hire.

When to Run

Before approving any new ML model training run that uses customer data
Before signing a multi-year data-infrastructure SaaS contract (Snowflake, Databricks, Fivetran)
Before productizing any customer data (benchmark report, embedding endpoint, license)
Before a major data team hire (head of data, CDO, data PM, ML engineer)
Before M&A diligence — yours or theirs
When the founder uses the word "monetize" near "data"