document-review

Review PDF, DOCX, PPTX, and XLSX documents for errors with annotations.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/yethikrishna/humble --skill document-review-yethikrishna
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: document-review
Source: https://github.com/yethikrishna/humble/tree/main/core/kortix-master/opencode/skills/GENERAL-KNOWLEDGE-WORKER/document-review
Command: npx skills add https://github.com/yethikrishna/humble --skill document-review-yethikrishna

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fitz, openpyxl, and includes scripts (resource) components.

What problem does it solve?

This skill automates careful, repeatable reviews of documents to find spelling and grammar errors, logical contradictions, factual inaccuracies, and numerical inconsistencies so teams can deliver accurate, professional documents.

Core Features & Use Cases

  • Sectioning & Structure: Divide PDF, DOCX, PPTX, and XLSX files into thematic sections to scope review work.
  • Claims & Fact-Checking: Extract verifiable claims and run web searches and python calculations for numerical checks, tracking verified, refuted, and inconclusive results.
  • Issue Annotation: Create structured issues (spelling, narrative logic, non-public info, public-data verification, numerical consistency) and produce annotated output with comments and tracked changes suitable for reviewer workflows.
  • Specialization Support: Load domain guidance (e.g., finance) when relevant to apply tailored checks and severity calibration.

Quick Start

Run a background review session to check spelling, logic, facts, and numeric consistency for the attached document.

Frequently Asked Questions about document-review

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

FAQPage Schema
How do I automate fact-checking and error annotation in PDF and DOCX files?

Automate document review by sectioning PDF, DOCX, PPTX, and XLSX files to extract verifiable claims, run web searches, and apply in-document annotations with comments and tracked changes.

Can I verify numerical consistency in Excel spreadsheets during a document review?

Yes, you can verify numerical consistency in XLSX files by running Python-based calculations to check financial memos, extracting structured claims, and flagging numerical inconsistencies.

What is the best way to identify logical contradictions and spelling errors in a presentation?

Identify logical contradictions and spelling errors in PPTX presentations by dividing the file into thematic sections to scope review work and generating annotated output with tracked changes.

Does this document review process support domain-specific guidance for financial reports?

Yes, the document review process supports domain specialization by loading tailored guidance, such as finance rules, to apply customized checks and calibrate issue severity for financial memos.

How do I extract and categorize verifiable claims from a structured document?

Extract and categorize verifiable claims from documents by sectioning files into thematic areas, fact-checking against web search results, and tracking verified, refuted, or inconclusive statuses.

What types of issues can be annotated and tracked across different document formats?

Annotate and track spelling, narrative logic, non-public info, public-data verification, and numerical consistency issues across PDF, DOCX, PPTX, and XLSX files using comments and tracked changes.