review

Review rich-text documents with tracked changes and threaded comments.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/shlomihod/ezra --skill review-shlomihod
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/shlomihod/ezra/tree/main/skills/review
Command: npx skills add https://github.com/shlomihod/ezra --skill review-shlomihod

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the friction of reviewing and editing documents by providing a browser-based, AI-integrated environment that supports tracked changes, threaded comments, and real-time collaboration.

Core Features & Use Cases

  • Tracked Changes: Suggest insertions and deletions that users can accept or reject.
  • Threaded Comments: Anchor feedback to specific text segments for clear, contextual communication.
  • Use Case: Use this to review a legal contract or technical specification, where you need to propose specific wording changes and discuss potential issues directly within the document.

Quick Start

Ask the assistant to review the Consulting Agreement file for any potential legal issues or missing clauses.

Frequently Asked Questions about review

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

FAQPage Schema
How do I review a document with tracked changes and comments in a browser?

You can review a document with tracked changes using an AI-assisted browser editor that suggests insertions and deletions for you to accept or reject, while anchoring threaded comments to specific text segments.

Can I use AI to review a legal contract and propose specific wording changes?

Yes, you can use AI to review a legal contract by asking the assistant to identify potential legal issues or missing clauses, facilitating collaborative editing and document annotation directly within the file.

Does this document review interface integrate with local file systems?

The document review interface integrates with local file systems to import rich-text files, edit them, and resolve document feedback loops without leaving the MCP-powered browser editor.

What is the best way to manage comment threads anchored to specific text segments?

The best way to manage comment threads is by using the interface to anchor feedback to specific text segments, ensuring clear, contextual communication for collaborative editing and document annotation.

How do I accept or reject AI-suggested insertions and deletions in a rich-text file?

You can accept or reject AI-suggested insertions and deletions through the tracked changes feature, which provides a review interface for managing proposed edits in rich-text files.