topic-reviewer

Review generated topics against editorial criteria and provide revision instructions.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ma2ong/claude-skills-collection --skill topic-reviewer-ma2ong
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: topic-reviewer
Source: https://github.com/ma2ong/claude-skills-collection/tree/main/topic-reviewer
Command: npx skills add https://github.com/ma2ong/claude-skills-collection --skill topic-reviewer-ma2ong

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill rigorously evaluates the quality of generated topics, ensuring they meet high editorial standards and providing actionable feedback for improvement.

Core Features & Use Cases

  • Multi-dimensional Scoring: Evaluates topics based on value, uniqueness, and actionability.
  • Actionable Feedback: Provides specific, directive instructions for revision, not vague suggestions.
  • Use Case: After a topic generation system produces a list of potential article ideas, this Skill acts as a strict editor, identifying weak angles or unclear titles and guiding the generator to refine them until they meet top-tier publication standards.

Quick Start

Review the generated topics and provide revision instructions.

Frequently Asked Questions about topic-reviewer

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

FAQPage Schema
How do I evaluate the editorial standards of generated content topics?

Topic quality assurance involves reviewing generated content ideas against strict editorial criteria for value, uniqueness, and actionability. This process acts as a quality gatekeeper to identify weak angles and ensure publication readiness.

How do I generate actionable revision feedback for weak article ideas?

Generating actionable revision feedback for article ideas requires providing specific, directive instructions for improvement rather than vague suggestions. This guides the content ideation pipeline to refine weak titles until they meet top-tier publication standards.

What is the best way to use a quality assurance gatekeeper for a content ideation pipeline?

Using a quality assurance gatekeeper for a content ideation pipeline involves systematically reviewing generated topic lists to filter out weak angles. It provides directive revision instructions to the generator, ensuring only high-quality topics pass through for publication.

Can I score content topics on uniqueness and actionability before publication?

Yes, you can score content topics on uniqueness and actionability before publication by applying multi-dimensional editorial criteria. This evaluates the intrinsic value of the topics and provides specific feedback to refine them for top-tier standards.

Why does my topic generation system produce low-value article ideas?

Topic generation systems often produce low-value article ideas because they lack a strict editorial review gatekeeper. Implementing multi-dimensional scoring for value, uniqueness, and actionability provides directive feedback to refine weak angles into publication-ready content.

When should I not use automated topic review for content ideation?

You should not use automated topic review for content ideation when your workflow requires subjective creative brainstorming rather than strict editorial compliance. It is designed as a rigorous quality assurance gatekeeper for meeting specific publication standards, not for open-ended ideation.