AI Data Foundation Audit

Use when

• Audit and prepare client data for AI marketing readiness. Produces a completed data hygiene checklist, a data mapping framework, and a 30-day remediation plan so that the client's data is clean and structured before any AI marketing tool is deployed. Invoke before any AI marketing tool deployment — this skill establishes the data quality foundation that all AI marketing activities depend on. Also invoke when a client reports inconsistent AI outputs, poor personalisation results, or chatbot errors.
• 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.