data-validator
CommunityEnsure data integrity and compliance.
Data & Analytics#data integrity#data quality#compliance#data validation#schema validation#business rules
AuthorCuriousLearner
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the critical need to ensure data accuracy, consistency, and adherence to predefined standards, preventing errors and improving the reliability of data-driven processes.
Core Features & Use Cases
- Schema Validation: Validates data against JSON schemas, database schemas, and API formats.
- Business Rules Validation: Enforces custom, domain-specific logic and constraints.
- Data Quality Checks: Identifies completeness issues, duplicates, outliers, and format inconsistencies.
- Use Case: Before ingesting a new customer dataset, use this Skill to validate that all required fields are present, email formats are correct, and customer IDs are unique, preventing bad data from entering your system.
Quick Start
Validate the data in 'customer_data.csv' against the 'customer_schema.json' file.
Dependency Matrix
Required Modules
jsonschemapandasajv-formatsscipy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: data-validator Download link: https://github.com/CuriousLearner/devkit/archive/main.zip#data-validator Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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