schema-normalizer

To standardize JSONL fields across pipeline artifacts, this skill enforces consistent id, title, section_id, and section_title fields using outline.yml mappings, resolving schema drift in C2-C4 JSONL artifacts and preventing downstream join failures.

JSONL schema drift causes parsing errors because inconsistent field names and citation key formats across files break deterministic data contracts. This skill normalizes cross-skill JSONL interfaces to resolve these inconsistencies and prevent fragile data joins.

You can normalize BibTeX citation keys in JSONL data contracts by validating them against a ref.bib file. This skill standardizes citation keys to raw BibTeX format, reducing parsing drift across multiple JSONL outputs.

You need to normalize JSONL interfaces in a data pipeline after generating multiple outputs from different skills. Use this standardization step before proceeding to the next stage to ensure a common, predictable schema and prevent downstream analysis or writing errors.

Yes, you can fix inconsistent id and title fields in C2-C4 JSONL artifacts without manual scripting. This skill automates the standardization process using outline.yml for ID and title mapping to enforce consistent fields deterministically.

The best way to resolve schema drift in cross-skill JSONL pipelines is to enforce deterministic data contracts. This skill standardizes IDs, titles, and citation key formats across artifacts, ensuring consistent fields and preventing downstream parsing failures.