AI Data Foundation Plan

Use when

• Audits a client's existing data assets, designs a customer-focused minimum viable data schema, and produces a 90-day action plan to build the data infrastructure required for AI marketing. Invoke this skill when a client at Canvas Step 1 (Foundation) needs to structure their data before any AI tools can function, or when a client at Step 2–3 discovers data gaps that limit AI effectiveness. Based on Venkatesan and Lecinski (2026) The AI Marketing Canvas, 2nd edition, Stanford Business Books.
• Use this skill when it is the closest match to the requested deliverable or workflow.

Do not use when

• Do not use this skill for graphic design, video production, software development, or legal advice beyond the repository's stated scope.
• Do not use it when another skill in this repository is clearly more specific to the requested deliverable.

Workflow

1. Collect the required inputs or source material before drafting, unless this skill explicitly generates the intake itself.
2. Follow the section order and decision rules in this SKILL.md; do not skip mandatory steps or required fields.
3. Review the draft against the quality criteria, then deliver the final output in markdown unless the skill specifies another format.

Anti-Patterns

• Do not invent client facts, performance data, budgets, or approvals that were not provided or clearly inferred from evidence.
• Do not skip required inputs, mandatory sections, or quality checks just to make the output shorter.
• Do not drift into out-of-scope work such as code implementation, design production, or unsupported legal conclusions.