Data Quality Check Prompts

Prompts for identifying data anomalies, missing values, and schema drift

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# Data Quality Check Prompts
*Free download — Agent Artifacts*

> Prompt · Prompts for identifying data anomalies, missing values, and schema drift

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## About This Download

This is a complete, usable free download from Agent Artifacts.
It covers core use cases for **Data Quality Check Prompts** and works with any major LLM.

**Compatible with:** openai | anthropic

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## Quick Start

Copy any template below, replace `{{placeholder}}` tokens with your context,
and paste directly into your AI tool of choice.

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## Prompt 1 — Core Template

```
You are an expert assistant. Given the context below, produce a high-quality output.

Context: {{context}}
Goal: {{goal}}

Provide:
1. A structured analysis
2. Actionable recommendations
3. Key considerations
```

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## Prompt 2 — Deep Dive

```
Analyse the following data quality check scenario in depth.

Input: {{input}}
Constraints: {{constraints}}

Provide:
1. Detailed breakdown
2. Alternative approaches
3. Risk factors
4. Recommended next steps
```

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## Prompt 3 — Quick Action

```
Generate a concise, actionable data quality check output.

Topic: {{topic}}
Audience: {{audience}}
Format: {{format}}

Keep it focused and practical.
```

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## Prompt 4 — Review & Iterate

```
Review the following draft output and suggest improvements.

Draft: {{draft}}
Criteria: {{criteria}}

Provide:
1. Strengths (what works well)
2. Weaknesses (what needs improvement)
3. Specific revision suggestions
4. Priority order for changes
```

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## Prompt 5 — Comparison Framework

```
Compare the following options for {{topic}} and recommend the best approach.

Option A: {{option_a}}
Option B: {{option_b}}
Context: {{context}}

Evaluate on: effectiveness, feasibility, cost, and timeline.
```

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## License

Free for personal and commercial use. Attribution appreciated but not required.
Visit [agentartifacts.io](https://agentartifacts.io) for premium assets.

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