review

Launch interactive web-based review sessions for markdown and text content.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/treejh/ai-agent-skills --skill review-treejh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/treejh/ai-agent-skills/tree/main/plugins/interactive-review/skills/review
Command: npx skills add https://github.com/treejh/ai-agent-skills --skill review-treejh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a simple way to collect structured, checkbox-driven feedback and comments on markdown or text content so reviewers can approve, reject, and annotate items without repetitive back-and-forth.

Core Features & Use Cases

  • Interactive review UI: Launches a browser-based interface where users check items, add comments, and submit feedback.
  • Flexible content sources: Accepts explicit file paths (read via a Read tool), direct content provided by the user, or extracts recent relevant conversation context.
  • Structured results: Returns JSON-formatted review items with approval states and comments for downstream automation and summaries.
  • Use Case: Quickly review an implementation plan, PR description, or design doc with collaborators and produce an actionable summary of approved and revised items.

Quick Start

Open an interactive review of README.md to collect checkbox approvals and inline comments.

Frequently Asked Questions about review

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

FAQPage Schema
How do I collect structured feedback on a markdown document?

Interactive review UIs solve this by launching a browser-based interface where reviewers check items, add inline comments, and submit feedback. The session returns structured JSON capturing approval states and reviewer comments for downstream automation.

Can I review code snippets and implementation plans with checkbox approvals?

Yes, you can review code snippets and implementation plans with checkbox approvals. The tool converts conversation outputs or file contents into interactive feedback sessions where collaborators approve, reject, and annotate items without repetitive back-and-forth.

What is the best way to automate post-processing of code review comments?

The best way to automate post-processing of code review comments is to capture reviewer feedback as structured JSON. This approach records approval states and inline comments directly from an interactive web UI, enabling seamless downstream automation and actionable summaries.

Does the interactive review tool work with direct file reading?

Yes, the interactive review tool works with direct file reading by accepting explicit file paths. It integrates with file-reading tools to extract markdown and text content before launching the web-based review and annotation interface.

How do I convert conversation output into a collaborative review session?

You can convert conversation output into a collaborative review session by extracting recent relevant context and passing it to an interactive web UI. This generates checkbox-driven feedback items that reviewers can annotate, approve, and submit as structured JSON.