data-quality-framework
About
This skill helps developers implement data quality checks through validation, profiling, and anomaly detection. Use it when you need to design or plan a data quality system within a given architecture and stack. It guides you from clarifying requirements to producing implementation artifacts and acceptance criteria.
Quick Install
Claude Code
Recommendednpx skills add majiayu000/claude-skill-registry -a claude-code/plugin add https://github.com/majiayu000/claude-skill-registrygit clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/data-quality-frameworkCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the data-quality-framework skill?
data-quality-framework is a Claude Skill by majiayu000. Skills package instructions and resources that Claude loads on demand, so Claude can perform data-quality-framework-related tasks without extra prompting.
How do I install data-quality-framework?
Use the install commands on this page: add data-quality-framework to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does data-quality-framework belong to?
data-quality-framework is in the data-analytics category, tagged data.
Is data-quality-framework free to use?
Yes. data-quality-framework is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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