v1.0.0 to v1.0.0

---

name: data-validation-and-schema-contracts

description: >

Use this skill for data contracts, schema validation, and ingestion-time quality checks using Pandera or Great Expectations.

version: 1.0.0

authors:

- Marie-Lynne Block

tags:

- data-science

---

## What this skill does

[TODO] Define the specific workflow this skill standardizes, including default libraries,

quality checks, and expected deliverables.

## When to use it

[TODO] List concrete user intents and trigger phrases that should activate this skill.

## Instructions

1. Clarify the objective, data assumptions, and success metrics.

2. Execute a leakage-safe and reproducible workflow for this skill domain.

3. Validate outputs with diagnostics, edge-case checks, and documented caveats.

## Output format

- A concise plan of action

- Executable code or commands

- Validation summary with assumptions and risks

## Examples

### Example 1 - baseline workflow

**Input:** User asks for help in data-validation-and-schema-contracts.

**Expected output:** A reproducible, validated workflow using the skill's core tools.

## Notes

- Prefer documented, stable APIs over experimental shortcuts.

- Record assumptions explicitly when data quality or labels are uncertain.