Can I use this for non-technical content?

While optimized for AI and programming niches, its logic for engagement, uniqueness, and value can be applied to any content creation workflow.

What happens if my topic fails the review?

The skill provides a clear 'Not Passed' status along with specific reasons and actionable directions to modify the topic for better performance.

How does Topic Reviewer determine if a topic is viable?

It uses a 100-point weighted system evaluating uniqueness, user value, market fit, and writing difficulty, combined with 'veto' criteria for heat and relevance.

How do I trigger a topic review?

You can trigger the skill by asking Claude 'Is this topic good?', 'Review this topic', or 'Check if I should write about this'.

Topic Reviewer

Name: Topic Reviewer
Author: zephyrwang6

byzephyrwang6

•

Content Management

Evaluates content ideas against engagement and quality standards to provide data-driven publishing recommendations.

About

Topic Reviewer is a specialized Claude Code skill designed to streamline the content strategy process by auditing proposed topics for virality, relevance, and technical feasibility. It uses a structured scoring system to analyze factors like current trends, user value, and domestic market adaptability, helping content creators and developers decide which ideas are worth pursuing. By providing detailed feedback and actionable improvement suggestions, it ensures that every piece of content meets high-performance benchmarks before production begins.

Key Features

Automated topic scoring across nine critical dimensions including heat and uniqueness
One-vote veto system to filter out low-relevance or outdated content immediately
Structured output format with pass/fail conclusions and numeric scoring
37 GitHub stars
Detailed feedback reports with specific strengths, weaknesses, and improvement tips
Localized adaptation suggestions to maximize impact within specific target markets

Use Cases

Content creators validating blog or video ideas for AI and tech trends
Marketing teams filtering high-potential social media topics for engagement
Technical writers ensuring documentation or tutorials provide genuine user value

About

Key Features

Automated topic scoring across nine critical dimensions including heat and uniqueness
One-vote veto system to filter out low-relevance or outdated content immediately
Structured output format with pass/fail conclusions and numeric scoring
37 GitHub stars
Detailed feedback reports with specific strengths, weaknesses, and improvement tips
Localized adaptation suggestions to maximize impact within specific target markets

Use Cases

Content creators validating blog or video ideas for AI and tech trends
Marketing teams filtering high-potential social media topics for engagement
Technical writers ensuring documentation or tutorials provide genuine user value