Extract CSV and XLSX rows into NDJSON with source lineage tracking.
npx skills add https://github.com/BLTGV/project-rye --skill rye-tabular-intake
Please help me install this Agent Skill. Skill: rye-tabular-intake Source: https://github.com/BLTGV/project-rye/tree/main/skills/rye-tabular-intake Command: npx skills add https://github.com/BLTGV/project-rye --skill rye-tabular-intake
This Skill eliminates the tedious, error-prone manual work of processing CSV and XLSX source files for database imports, while preserving full source lineage and auditability for Rye-tracked data workflows.
Use the rye-tabular-intake skill to inspect your sales spreadsheet, map its columns to your Rye contacts table, and commit the full intake lineage to your Rye database.
High-intent search queries and answers about installing and using this skill.
To import CSV and XLSX files while preserving source lineage, you can extract rows into NDJSON with stable tracking, apply field mapping, and commit the full intake trail to an append-only audit model for traceability.
The best way to map spreadsheet columns to database records is by using declarative configs for simple alignment or custom TypeScript logic for complex transforms, ensuring deterministic mapping during the tabular extraction process.
Yes, you can group multiple source rows into a single parent record during tabular data extraction. This many-to-one grouping tracks the full source-set, which is ideal for mapping invoice lines to parent invoices.
Rye integration supports duplicate detection and change review before final database loads by staging intake trails and committing them to Rye's audit model, allowing full traceability and data validation prior to loading.
You can commit extracted tabular data to PostgreSQL using either a direct PostgreSQL commit option or a SQL-only approach, enabling flexible database integration for Rye-tracked intake pipelines.
Use declarative config for straightforward column-to-record alignment, and switch to custom TypeScript modules when your data mapping requires complex transforms or conditional logic to accurately process tabular source data.
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