About
This skill helps developers implement data quality checks by providing validation, profiling, and anomaly detection capabilities. Use it when you need to design or plan a data quality framework for a system with confirmed requirements. It guides you through scoping, tool selection, and artifact creation based on your architecture and constraints.
Quick Install
Claude Code
Recommendednpx skills add cornmanwtf/ABANG-COLEK -a claude-code/plugin add https://github.com/cornmanwtf/ABANG-COLEKgit clone https://github.com/cornmanwtf/ABANG-COLEK.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 cornmanwtf. 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.
Related Skills
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The data-pipeline-builder skill designs and plans orchestration pipelines with a focus on idempotency. It's used when you need to create data workflows, producing artifacts like specs, configs, and validation steps. Developers should use it after confirming requirements and necessary approvals.
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.