Topic Reviewer
This tool analyzes text to identify key topics discussed and their prominence, streamlining review processes and summarizing content effectively.
Install on your platform
We auto-selected Claude Code based on this skillβs supported platforms.
Run in terminal (recommended)
claude mcp add topic-reviewer npx -- -y @trustedskills/topic-reviewer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"topic-reviewer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/topic-reviewer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The Topic Reviewer skill analyzes proposed topics (either generated by another AI or provided directly) to determine their suitability for content creation. It assesses topics based on a predefined checklist, assigning scores and ultimately concluding whether a topic should be approved ("β ιθΏ") or rejected ("β δΈιθΏ"). The review considers factors like popularity, relevance, timeliness, and potential user value.
When to use it
This skill is useful in the following scenarios:
- Evaluating topics generated by AI content creation tools.
- Filtering user-submitted topic suggestions for quality and feasibility.
- Streamlining the initial stages of content planning and idea validation.
- Ensuring that selected topics align with editorial guidelines and audience interests.
- Quickly assessing whether a topic is worth pursuing based on rapid evaluation questions.
Key capabilities
- Topic Scoring: Assigns scores across several dimensions (Unique Angle, User Value, Domestic Relevance, Title Appeal, Writing Difficulty).
- Automated Rejection Criteria: Automatically flags topics that fail mandatory checks (e.g., low discussion volume, outdated news).
- Detailed Feedback: Provides specific reasons for approval or rejection, including strengths and areas for improvement.
- Weighted Scoring System: Uses a weighted scoring system to prioritize different aspects of topic quality (Unique Angle - 30%, User Value - 25%, etc.).
- Rapid Assessment Questions: Includes a set of quick questions to help determine if a topic is worth pursuing immediately.
Example prompts
- "Review this topic: 'The Future of Quantum Computing in Healthcare'"
- "Assess the potential of this title for an article: '5 Ways to Improve Your Python Coding Skills'"
- "Can you evaluate whether this topic aligns with our editorial focus on AI and productivity?"
Tips & gotchas
- Mandatory Checks: Topics failing "must-pass" criteria (e.g., low discussion volume) will automatically be rejected.
- Domestic Relevance: The skill prioritizes topics relevant to a domestic (presumably Chinese) audience.
- Writing Difficulty: Topics requiring significant research or technical expertise may receive lower scores if they are deemed too challenging to produce quickly and effectively.
Tags
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