Ml Data Preprocessing

Overview

Use this skill to define preprocessing that improves model quality without introducing leakage or unreproducible transforms.

Scope Boundaries

• Use this skill when the task matches the trigger condition described in description.
• Do not use this skill when the primary task falls outside this skill's domain.

Shared References

• Leakage prevention rules:
  • references/leakage-prevention-rules.md

Templates And Assets

• Preprocessing spec template:
  • assets/preprocessing-spec-template.md

Inputs To Gather

• Source datasets, schema quality, and time boundaries.
• Missing/outlier characteristics and domain constraints.
• Train/validation/test split policy.
• Reproducibility and compliance requirements.

Deliverables

• Preprocessing specification with transformation rationale.
• Leakage and data-quality validation plan.
• Reproducibility notes and versioning requirements.

Workflow

1. Draft transform plan with assets/preprocessing-spec-template.md.
2. Validate temporal and label safety via references/leakage-prevention-rules.md.
3. Define split-safe transformations and quality checks.
4. Verify transform repeatability across runs.
5. Publish preprocessing contract and residual risks.

Quality Standard

• Transformations are deterministic and versioned.
• Leakage risk is explicitly checked and mitigated.
• Data loss/quality trade-offs are documented.

Failure Conditions

• Stop when preprocessing introduces label or temporal leakage.
• Stop when transforms are not reproducible.
• Escalate when data quality blocks decision-grade training.