document-processing

Convert unstructured documents into validated JSON/CSV outputs with provenance tracking.

24|5|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/Luohaothu/everything-codex --skill document-processing-luohaothu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: document-processing
Source: https://github.com/Luohaothu/everything-codex/tree/main/skills/document-processing
Command: npx skills add https://github.com/Luohaothu/everything-codex --skill document-processing-luohaothu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Unstructured documents are difficult to analyze, audit, and ingest into data pipelines. This skill standardizes extraction and validation to produce reliable, auditable outputs.

Core Features & Use Cases

  • Automatic extraction of key fields and tables from invoices, contracts, medical records, policies, resumes, and reports.
  • Provenance tracking and validation to ensure traceability and data quality.
  • Output in structured formats (JSON/CSV) with clear error handling and extensibility for custom schemas.

Quick Start

Provide a batch of documents to be processed and receive a validated, structured JSON output with provenance.

Frequently Asked Questions about document-processing

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

FAQPage Schema
How do I extract structured data from unstructured documents like invoices and contracts?

You extract structured data from unstructured documents by automatically identifying key fields and tables in invoices and contracts, then outputting the results as validated JSON or CSV with provenance tracking.

Can I convert scanned multi-page documents into JSON with provenance tracking?

Yes, you can convert scanned multi-page documents into JSON. The process applies OCR to scan images and extracts validated structured data while maintaining provenance for auditability.

Does this document processing approach support custom schemas for medical records and resumes?

Yes, this document processing approach supports custom schemas for medical records and resumes. It provides clear error handling and extensibility to satisfy explicit output contracts for various document types.

What is the best way to validate extracted data from policies and reports?

The best way to validate extracted data from policies and reports is to use a standardized extraction process that includes built-in validation and provenance tracking to ensure traceability and data quality.

How do I handle edge cases when extracting tables from multi-page documents?

To handle edge cases when extracting tables from multi-page documents, the processing logic applies OCR where needed and includes explicit error handling to manage complex document structures and ensure data quality.