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Chief Data Officer Advisor Skill

Help agents provide CDO-level data leadership — AI training-data rights, data product strategy, customer-data-as-asset valuation, and data team org evolution.

by Alireza RezvaniPublished Jul 31, 2026Updated Jul 31, 2026
DataAgent skill
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What does this skill do?

The Chief Data Officer Advisor skill is an open-source skill that gives an agent strategic data-leadership guidance for startups and founders without a dedicated data leader.

It focuses on four decisions: whether specific data can legally train models (origin, consent, and use-case matrices), which data architecture fits (warehouse vs lakehouse vs mesh, and build-vs-buy per layer), how to value customer data as a strategic asset for M&A, and how to sequence data-team hiring.

It works through structured workflows with analysis tools and GO/MITIGATE/NO-GO decisions, and it explicitly defers to qualified legal counsel on training-data rights and M&A diligence. It does not cover tactical data engineering.

  • Assesses AI training-data eligibility with lawful-basis decision trees

  • Recommends warehouse, lakehouse, or mesh by stage and build-vs-buy

  • Values customer data as asset and liability for M&A readiness

  • Maps a stage-to-role data hiring roadmap

How it works

1

Frame the data decision

The agent identifies which of the four decisions applies — training rights, architecture, valuation, or org — and gathers the relevant inputs.

2

Assess training-data rights

It evaluates data across origin, data class, and use case to produce GO, MITIGATE, or NO-GO decisions, with GDPR and EU AI Act checks.

3

Choose architecture and build-vs-buy

It recommends warehouse, lakehouse, or mesh based on consumers, data volume, and ML use, with per-layer build-vs-buy guidance.

4

Value data and sequence the team

It assesses the data corpus as asset and liability for M&A and maps a stage-appropriate data-team hiring roadmap.

Best use cases for this skill

  • AI training decisions: Determine whether specific data sources can legally train models.

  • Architecture selection: Choose warehouse, lakehouse, or mesh with build-vs-buy per layer.

  • M&A readiness: Value customer data as an asset and surface contractual carve-outs.

  • Team roadmap: Sequence data hires against the business decisions they unblock.

Frequently asked questions

What does the Chief Data Officer Advisor skill do?

It provides CDO-level guidance on four decisions — AI training-data rights and consent provenance, data product strategy, customer-data-as-asset valuation, and data team org evolution.

When should an agent use it?

Use it for decisions about training-data eligibility, data architecture selection, valuing customer data for M&A, or sequencing data-team hiring.

What is out of scope?

It does not cover tactical data engineering, schema design, query optimization, RAG implementation, or ML platform deployment.

Does it replace legal review?

No. Decisions involving training-data rights, data productization, or M&A diligence require qualified legal counsel; the skill surfaces the tradeoffs but does not replace legal review.

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Use from source

Ask your Buda agent to install this community skill.

Copy this prompt into your own Buda agent. It includes the source repository and install command so the agent can complete the setup in natural language.

Prompt to send to your Buda agent
Please install the "Chief Data Officer Advisor Skill" skill into this Buda agent.

Source repository: https://github.com/alirezarezvani/claude-skills
Install command: npx skills add alirezarezvani/claude-skills --skill chief-data-officer-advisor -y -a universal

Please run the install command, verify the skill is available, and tell me any setup notes or follow-up steps from the source repository.
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Install workflow

  1. 1Copy the prompt
  2. 2Send it to your Buda agent
  3. 3Done

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