skylv-schema-validatorValidates JSON, CSV, and Excel data using 17 built-in schema rules including type, pattern, email, UUID, and supports schema inference from examples.
Install via ClawdBot CLI:
clawdbot install sky-lv/skylv-schema-validatorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 20, 2026
An e-commerce platform uses the skill to validate product listings against a schema, ensuring required fields like price, description, and images are present and correctly formatted. This reduces data entry errors and improves catalog quality.
A healthcare organization validates patient records in JSON format against ISO date and email schemas to meet regulatory standards. The skill ensures data quality for reporting and analytics.
A fintech company validates transaction data (CSV/Excel) for positive amounts, integer IDs, and valid UUIDs. This prevents processing errors and ensures data integrity in payment systems.
An IoT platform validates sensor readings (JSON) against type and range rules, flagging outliers or missing values. This improves reliability of real-time monitoring systems.
During a legacy system migration, the skill validates exported data against target schemas, checking for required fields and pattern compliance. This reduces manual review time and migration errors.
Offer basic validation (e.g., 5 rules) for free; charge per additional validators or data volume. Upsell enterprise features like custom schemas and bulk validation.
Provide a REST API for schema validation, charging per API call or per validated record. Suitable for high-volume integration into existing workflows.
Sell a perpetual license for on-premise deployment with optional maintenance and support contracts. Targets organizations with strict data residency requirements.
💬 Integration Tip
Integrate via CLI or API into existing ETL pipelines; for Python users, import as a module for real-time validation in scripts.
Scored May 20, 2026
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