paper-review

Render LaTeX or Markdown sources into an interactive web review interface.

19|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/angadhn/botference --skill paper-review-angadhn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-review
Source: https://github.com/angadhn/botference/tree/main/.agents/skills/paper-review
Command: npx skills add https://github.com/angadhn/botference --skill paper-review-angadhn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandoc, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This skill solves the friction of reviewing technical documents by providing a structured, comment-driven interface that keeps discussions anchored to specific document sections while managing bot-assisted edits.

Core Features & Use Cases

  • Anchored Review: Enables Google-Docs-style margin comments on rendered LaTeX or Markdown sources, ensuring feedback is always context-aware.
  • Bot-Human Collaboration: Allows agents like Claude and Codex to participate in review rounds, suggest changes, and resolve tasks via a strict, social routing protocol.
  • Atomic Commit Workflow: Provides a safe, deterministic apply-and-commit mechanism for document changes, ensuring that source edits are always verified and human-approved.

Quick Start

Run the botference review command in your terminal followed by the directory path to initialize the review interface for your project.

Frequently Asked Questions about paper-review

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

FAQPage Schema
How do I add anchored margin comments to a LaTeX document for collaborative review?

To add anchored margin comments, render your LaTeX or Markdown sources into an interactive web interface. This creates a Google-Docs-style review environment where feedback cards attach directly to specific document sections.

Can AI agents and humans collaborate on the same document review round?

Yes, agents and humans can collaborate on document review rounds. The system manages multi-agent and human feedback loops through a strict social routing protocol, allowing bots like Claude to suggest changes and resolve tasks alongside human reviewers.

Do I need Pandoc and Node.js to run a local Markdown review interface?

Yes, you need Pandoc to render Markdown or LaTeX sources and a local Node.js environment. Node.js serves the interactive review interface and handles state synchronization, while Pandoc handles the document conversion.

What is the best way to apply suggested edits from a collaborative review back to Markdown source code?

The best way to apply suggested edits is using the atomic commit workflow. This mechanism provides a safe, deterministic apply-and-commit process for document changes, ensuring that source edits are always verified and human-approved before integration.

Are there limitations when using bot-assisted edits for technical documentation?

The main limitation is that bot-assisted edits require a local Node.js environment and Pandoc, meaning it is not a cloud-native solution. Additionally, all bot-suggested changes must pass through a human-approved atomic commit workflow before altering the source.