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table-schema

Define evidence-first table schemas for research survey tables.

497|38|Updated Jan 7, 2026
Search Tags:#data structure#literature review#survey design#evidence mapping#table schema#research tables
One-click install
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill table-schema
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: table-schema
Source: https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/table-schema
Command: npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill table-schema

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of creating structured, verifiable tables for research surveys, ensuring that each column can be filled with evidence and that the tables serve a clear purpose for the reader.

Core Features & Use Cases

  • Two-Layer Table Design: Differentiates between internal index tables for debugging and reader-facing appendix tables for publication.
  • Evidence-First Schema: Mandates that every column in a table schema must be mappable to existing evidence sources, preventing invented facts.
  • Use Case: When conducting a literature survey, use this Skill to define the structure of tables that will summarize key findings, methodologies, and evaluation benchmarks, ensuring these tables are both informative and directly supported by the research evidence.

Quick Start

Use the table-schema skill to define a schema for survey tables based on the provided evidence drafts and subsection briefs.

Frequently Asked Questions about table-schema

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure research tables to ensure columns are verifiable against literature review evidence?▼

To ensure research tables are verifiable, use an evidence-first schema that mandates every column maps to upstream sources like subsection briefs and evidence drafts, preventing invented facts during literature reviews.

What is the difference between internal index tables and publishable appendix tables for survey design?▼

Internal index tables are designed for debugging and structural organization, while publishable appendix tables are reader-facing formats prepared for publication, ensuring clear purpose and evidence support in survey design.

Can I use this approach to map evaluation benchmarks and methodologies for comparative analysis?▼

Yes, you can use this schema to map evaluation benchmarks and methodologies for comparative analysis by defining table structures that summarize key findings directly supported by research evidence drafts.

Do I need existing evidence drafts before defining a table schema for my literature survey?▼

Yes, you need existing evidence drafts and subsection briefs beforehand, because the schema requires every column to be mappable to upstream evidence sources to prevent fabricated data in literature surveys.

What's the best way to prevent invented facts when organizing structured data for evidence mapping?▼

The best way to prevent invented facts during evidence mapping is to enforce a schema where every table column must be strictly verifiable against upstream evidence sources like subsection briefs and evidence drafts.

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