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tabular-review

Aggregate document data into a typed columnar table with verbatim quotes.

Updated May 28, 2026
Search Tags:#schema#compliance#data-extraction#tabular-review#contract-diligence#verbatim-quote
One-click install
npx skills add https://github.com/gtgspot/clegal --skill tabular-review-gtgspot
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tabular-review
Source: https://github.com/gtgspot/clegal/tree/main/corporate-legal/skills/tabular-review
Command: npx skills add https://github.com/gtgspot/clegal --skill tabular-review-gtgspot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Tabular-review solves the challenge of auditing large sets of contracts or documents by turning them into a single, consistent table. Each document becomes a row, each data point becomes a column, and every cell carries a verbatim quote linking back to the source to support reviewer verification.

Core Features & Use Cases

  • Define a typed, reusable schema (verbatim, classify, date, duration, currency, number, free) to capture the exact data points you need.
  • Parallelize work across documents by spawning, for each document, a sub-agent that extracts and quotes the relevant provisions.
  • Produce outputs in Markdown, CSV, and Excel-friendly formats with built-in provenance, including source quotes and location references.
  • Use cases include diligence reviews, vendor contract audits, and batch-metadata extraction where consistency and traceability are essential.

Quick Start

Provide a folder of documents and run the tabular-review workflow to generate an end-to-end tabular output with verifiable quotes.

Frequently Asked Questions about tabular-review

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

FAQPage Schema
How do I extract data from multiple contracts into a structured table?▼

Contract data extraction into a structured table is done by applying a fixed schema to a batch of documents, generating per-document rows with cells linked to exact verbatim quotes for traceability.

Can I automate diligence reviews to pull specific metadata from a folder of documents?▼

Yes, you can automate diligence reviews by providing a folder of documents and running a workflow that spawns sub-agents to extract and quote relevant provisions in parallel.

What is the best way to ensure traceability during batch document analysis?▼

To ensure traceability during batch document analysis, use a workflow that links every extracted data point in a columnar table to a verbose verbatim quote and its source location metadata.

Does contract diligence schema support typed column definitions for different data formats?▼

Contract diligence schemas support typed column definitions including verbatim, classify, date, duration, currency, number, and free text to capture exact data points consistently across documents.

What output formats are generated when auditing large sets of contracts?▼

Auditing large sets of contracts generates outputs in Markdown, CSV, and Excel-friendly formats, complete with built-in provenance like source quotes and location references for reviewer verification.

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