Research Table Schema Designer

About

The Table Schema skill facilitates the structural design of research tables by creating a dual-layer schema consisting of internal index tables for coverage tracking and publishable appendix tables for the final manuscript. It employs an 'evidence-first' methodology that prevents hallucinated facts by strictly mapping every table column to existing data sources. This skill is essential for researchers and developers who need to organize complex benchmark results, system comparisons, or literature reviews into structured, verifiable formats before final document generation.

Key Features

• Automated schema validation against research evidence packs
• Evidence-to-column mapping to eliminate data hallucinations
• Multi-perspective design roles for 'Table Designer' and 'Evidence Steward'
• Dual-layer architecture separating internal tracking from reader-facing tables
• 96 GitHub stars
• Standardized templates for high-density arXiv-style survey papers

Use Cases

• Structuring complex literature surveys involving multi-dimensional system comparisons
• Auditing data readiness and evidence coverage before drafting technical reports
• Designing publication-ready Appendix tables for LaTeX-based academic papers