fcistud Data Quality Audit
When To Use
Use this skill when the task requires this exact workflow and you need repeatable, high-confidence outputs.
Required Inputs
- Problem statement with objective and constraints
- Relevant artifacts (code, docs, metrics, logs, datasets)
- Success criteria and timeline
Workflow
- Clarify scope, assumptions, and non-goals.
- Build a quick baseline snapshot of the current state.
- Prioritize the top risks/opportunities using impact and feasibility.
- Execute a minimal, testable improvement plan.
- Produce artifacts that justify decisions and support handoff.
Output Checklist
- Decision log with rationale and tradeoffs
- Action plan with owner, sequence, and rollback path
- Validation evidence (tests, metrics, or review checks)
Quality Bar
- Recommendations are actionable, not generic.
- Claims are tied to evidence.
- Risks and failure modes are explicitly called out.