lgtm

Launch an interactive terminal UI for line-by-line markdown review.

4|2|Updated Jan 30, 2026
One-click install
npx skills add https://github.com/hapticdata/lgtm --skill lgtm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lgtm
Source: https://github.com/hapticdata/lgtm/tree/main/skills/lgtm
Command: npx skills add https://github.com/hapticdata/lgtm --skill lgtm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the process of reviewing documents by enabling detailed, line-by-line feedback directly within a terminal interface.

Core Features & Use Cases

  • Interactive TUI: Provides a terminal-based user interface for navigating and commenting on documents.
  • Line-by-Line Commenting: Supports multiple comment types (blocker, concern, question, suggestion, praise, acknowledge) for precise feedback.
  • Syntax Highlighting: Enhances readability for code blocks within documents.
  • Use Case: Reviewing AI-generated code proposals or technical documentation by adding specific comments to each relevant line.

Quick Start

Launch the lgtm TUI to review the file named 'document.md'.

Frequently Asked Questions about lgtm

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

FAQPage Schema
How do I review markdown files with line-by-line comments in the terminal?

Reviewing markdown files with line-by-line comments involves launching an interactive terminal UI that enables document navigation and detailed feedback insertion directly on specific lines. The interface provides syntax highlighting for code blocks to enhance readability during the review process.

What types of feedback can I add when reviewing technical documentation?

Adding feedback during technical documentation review supports multiple comment types including blocker, concern, question, suggestion, praise, and acknowledge. This enables precise, categorized line-by-line feedback directly within the terminal interface.

Can I use a terminal interface for AI code review workflows?

Using a terminal interface for AI code review workflows is fully supported. The system integrates with these workflows by capturing detailed line-by-line feedback and exporting it, ensuring AI-generated code proposals are thoroughly evaluated.

Does the line-by-line document reviewer support session persistence?

The line-by-line document reviewer supports session persistence for feedback, ensuring comments and review progress are saved during the terminal session. This allows you to manage document reviews continuously without losing detailed annotations.

What is the best way to provide structured feedback on code blocks within markdown?

Providing structured feedback on code blocks within markdown is best achieved using an interactive terminal UI that offers syntax highlighting. This approach enables targeting specific lines with categorized comments like suggestions or concerns directly in the terminal.