ClaudSkills / Science & Research / data-science-research

Data Quality Validation

Q: What is a Claude Code skill and how does the Data Quality Validation skill fit in?

A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Data Quality Validation is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at https://claudskills.com/learn/what-is-skill-md/.

Category: Science & Research · Sub-category: data-science-research · Last updated: 2026-05-21

Systematic data validation, error detection, cross-source reconciliation, and query correctness checking for analytical work. Use when validating Snowflake queries, catching calculation errors, reconciling metrics across different data sources, checking for null values, ensuring date range validity, detecting statistical anomalies, validating metric calculations (median vs mean, rate normalization), checking aggregation grain (per-record vs per-entity), validating contribution analysis for non-additive metrics, or validating consistency across analysis sections. Essential when reviewing analysis before publication, debugging unexpected results, or ensuring data quality in reports. Triggers include "validate this query", "check for errors", "why don't these numbers match", "should I use median or mean", "why don't contributions sum to 100%", "reconcile these metrics", "verify data quality", or any request to catch potential issues in data or calculations.

From the source SKILL.md

Systematic framework for catching data quality issues, query errors, metric calculation problems, and inconsistencies before they affect analysis results.

What this skill does

Data Quality Validation is a community-contributed Claude Code skill in the data-science-research sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/data-quality-validation/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when validating Snowflake queries, catching calculation errors, reconciling metrics across different data sources, checking for null values, ensuring date range validity, detecting statistical anomalies, validating metric calculations (median vs mean, rate normalization), checking aggregation grain (per-record vs per-entity), validating contribution analysis for non-additive metrics, or validating consistency across analysis sections. Essential when reviewing analysis before publication, debugging unexpected results, or ensuring data quality in reports.

Who uses this skill

The Data Quality Validation Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 116,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/data-quality-validation
curl -L https://claudskills.com/skills/data-quality-validation/SKILL.md \
  -o ~/.claude/skills/data-quality-validation/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/data-quality-validation/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/data-quality-validation/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\data-quality-validation\SKILL.md on Windows. See the full install guide for step-by-step instructions.

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

See pricing → Download desktop app

Frequently asked questions

How do I install the Data Quality Validation Claude Code skill?

Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/data-quality-validation/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.

What does the Data Quality Validation skill do?

Is this skill free to install?

Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.

When should I use the Data Quality Validation skill?

Use Data Quality Validation when your Claude Code task falls under the Science & Research category — specifically in the data science research area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Data Quality Validation" or describe the task and let Claude pick). Browse related skills at /category/science/.

What is a Claude Code skill and how does the Data Quality Validation skill fit in?

A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Data Quality Validation is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA

ClaudSkills. (2026). Data Quality Validation [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/data-quality-validation/

BibTeX

@misc{data-quality-validation-2026,
  author    = {ClaudSkills},
  title     = {Data Quality Validation [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/data-quality-validation/}
}

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