Batch-import structured records into database collections with schema validation.
npx skills add https://github.com/platyplus/cairn-plugin --skill ingest-platyplus
Please help me install this Agent Skill. Skill: ingest Source: https://github.com/platyplus/cairn-plugin/tree/main/cairn/skills/ingest Command: npx skills add https://github.com/platyplus/cairn-plugin --skill ingest-platyplus
This skill solves the risk of data corruption during bulk uploads by enforcing a strict, multi-step validation process that prevents silent errors and ensures data integrity.
Use the ingest skill to bulk upload the records from my attached CSV file into the health facilities collection.
High-intent search queries and answers about installing and using this skill.
To safely bulk import data, you can use a validation workflow that maps your CSV rows to existing schema definitions, resolves references, and performs a dry run to catch errors before committing the batch.
A dry-run protocol for bulk uploads simulates the data import process to generate a report of validation errors and potential duplicates without writing any records to the database.
Schema validation prevents data corruption by automatically shaping incoming data to match collection requirements, enforcing enum values, and resolving reference lookups before any write operation occurs.
No, importing structured records requires strict adherence to existing schema definitions to ensure data integrity, meaning the target collection schema must be established before the import workflow begins.
The best way to prevent silent errors during spreadsheet data import is to use a multi-step validation process that requires explicit confirmation before executing bulk write operations on the target collection.
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