One-click install
npx skills add https://github.com/ralvarezdev/ralvaskills --skill uru-thesis-reviewer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: uru-thesis-reviewer
Source: https://github.com/ralvarezdev/ralvaskills/tree/main/skills/personal/uru-thesis-reviewer
Command: npx skills add https://github.com/ralvarezdev/ralvaskills --skill uru-thesis-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides structured, non-destructive feedback for URU theses by generating ordered Markdown diffs that authors can apply manually to the source document, preserving original formatting and provenance while guiding improvements.

Core Features & Use Cases

  • Non-destructive, diff-based reviews that track changes (- old / + new) for each thesis section.
  • Coverage of substance, structure, prose, and citations aligned with NORMAS_URU_2020.
  • Use Case: A student uploads a URU thesis chapter and receives a guided diff set highlighting issues and recommended edits.

Quick Start

Upload a URU thesis docx and request a non-destructive, diff-based review.

Frequently Asked Questions about uru-thesis-reviewer

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

FAQPage Schema
How do I get non-destructive thesis feedback without altering my original document?

You can receive non-destructive thesis feedback by generating ordered Markdown diffs that track proposed changes (- old / + new), which you then manually apply to your source document to preserve the original formatting and provenance.

Can I review a thesis chapter for both prose quality and citation formatting?

Yes, you can review a thesis chapter for both prose quality and citation formatting simultaneously. The review covers substance, structure, prose, and citations, validating formatting against NORMAS_URU_2020 standards.

What is the best way to review a .docx thesis against URU norms?

Upload your .docx thesis and request a diff-based review to validate it against URU norms. This generates section-by-section Markdown diffs that highlight issues and recommended edits aligned with NORMAS_URU_2020.

Does thesis review work with .docx files and Markdown output?

Yes, thesis review accepts .docx file uploads and outputs ordered Markdown diffs. This format tracks changes clearly using - old and + new lines, enabling manual application to the source document without automated overwrites.

Why use Markdown diffs instead of direct edits for thesis reviewing?

Markdown diffs provide non-destructive, iterative feedback by tracking changes (- old / + new) without altering the source document. This approach preserves original formatting and allows authors to selectively apply recommended edits manually.