Reviewer Agent

Review generated documents and produce structured feedback with strengths and issues.

Updated Mar 21, 2026
One-click install
npx skills add https://github.com/Aken-Teams/ai-agents-office --skill reviewer-agent-aken-teams
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Reviewer Agent
Source: https://github.com/Aken-Teams/ai-agents-office/tree/main/server/src/skills/reviewer
Command: npx skills add https://github.com/Aken-Teams/ai-agents-office --skill reviewer-agent-aken-teams

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generated documents frequently lack quality, consistency, and clear structure, leading to confusion and reduced trust.

Core Features & Use Cases

  • Automated quality assessment: evaluate content accuracy, structure, and completeness.
  • Actionable feedback: provide concrete improvements and suggested edits.
  • Non-destructive review: analyzes without altering source documents.
  • Use Case: editors and teams relying on AI-generated reports can obtain structured critiques to speed up revisions.

Quick Start

Submit a generated document for review and request actionable feedback.

Frequently Asked Questions about Reviewer Agent

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

FAQPage Schema
How do I get actionable feedback on AI-generated documents?

Automated quality review evaluates generated documents for accuracy, structure, and completeness, then outputs a structured format covering Overall Assessment, Strengths, Issues Found, and Recommendations to guide concrete improvements.

What is automated quality assurance for AI-generated reports?

Automated quality assurance is a non-destructive review process that analyzes AI-generated reports for accuracy and readability, producing structured critiques and concrete improvements without altering the original source document.

Can I review AI-generated summaries without altering the source document?

Yes, the review process analyzes AI-generated summaries non-destructively, providing structured feedback and suggested edits while keeping the original source document completely intact and unaltered.

How do I assess the accuracy and readability of AI-generated drafts?

You assess drafts by submitting them for automated editorial review, which evaluates content completeness and structure, then returns a categorized list of strengths, issues found, and concrete recommendations.

Does the document review process work for any AI-generated content domain?

Yes, the review process works across any domain where accuracy and readability matter. It applies to AI-generated reports, drafts, and summaries regardless of subject area, delivering domain-agnostic quality assessment.

What limitations exist when evaluating AI-generated content for quality?

A key limitation is that the review provides feedback and suggested edits but does not automatically fix or rewrite the source document. Users must manually apply the structured recommendations to resolve identified issues.