Editor Skindex
A developer-focused editor for creating and maintaining a structured item index called Skindex, with validation, transformation, and export capabilities for data pipelines.
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About This Tool
Core capabilities are structured around inputs, validation, and outputs. The tool accepts an index in JSON (and optional schema), performs field-level validation, deduplication by ID, and normalization of field names. It produces a validated index and optional diffs or patches, and can export in JSON, YAML, or CSV. Example: an item with id 'item-042', name 'Azure Gear', and attributes {rarity:'rare', weight:1.2} will be checked for required fields, type correctness, and uniqueness, with errors reported precisely by field path.
Core value and differentiators: It enforces a formal schema, provides batch editing and patch workflows, and focuses on automation-friendly outputs suitable for data pipelines. Distinguishing features include strict ID uniqueness, deterministic export formats, and error reporting designed for machine consumption, enabling CI workflows and versioned catalogs. Use cases include catalog audits, content migration, and integration with data processor workflows where accuracy and reproducibility matter.
How to Use
- Provide inputs: supply index_data (JSON) and, if available, a JSON Schema for validation.
- Run validation: execute the validator to check required fields, data types, and uniqueness constraints.
- Review results: examine errors, warnings, and any suggested patches or normalization changes.
- Apply transformations: optionally normalize field names, deduplicate, and apply batch edits or patches.
- Export outputs: choose JSON, YAML, or CSV and download the updated index along with a diff report.
Frequently Asked Questions
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Which data formats are supported?
Can it handle large indexes efficiently?
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