content-analysis
Analyze text content using both traditional NLP and LLM-enhanced methods. Extract sentiment, topics, keywords, and insights from various content types including social media posts, articles, reviews, and video content. Use when working with text analysis, sentiment detection, topic modeling, or content optimization.
npx skills add majiayu000/claude-skill-registry --skill content-analysis-liangdabiao-claude-data-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Content Analysis Skill Analyze text content using advanced NLP techniques and LLM-powered insights to extract sentiment, topics, and actionable intelligence from various content sources. ## Quick Start This skill helps you: 1. **Analyze sentiment** using both traditional NLP and LLM methods 2. **Extract topics and keywords** from large text datasets 3. **Classify and cluster content** automatically 4. **Identify viral content** patterns and characteristics 5. **Generate content insights** and recommendations 6. **Support multiple languages** and content formats ## When to Use - **Social Media Analysis**: Facebook, Twitter, Instagram, Weibo posts - **Content Marketing**: Blog posts, articles, marketing copy analysis - **Video Content**: YouTube titles, descriptions, comments analysis - **Product Reviews**: Amazon, e-commerce customer feedback - **News Analysis**: Article categorization, sentiment tracking - **Customer Feedback**: Support tickets, surveys, reviews analysis ## Key Requirements ### Traditional NLP Analysis ```bash pip install pandas numpy matplotlib seaborn nltk scikit-learn wordcloud ``` ### LLM-Enhanced Analysis (Optional) ```bash pip install openai dashscope # For
- Quick Start
- When to Use
- Key Requirements
- Traditional NLP Analysis
- LLM-Enhanced Analysis (Optional)
- Setup NLTK Data
- Core Workflow
- 1. Data Preparation
- 2. Analysis Process
- 3. Output Deliverables
- Example Usage Scenarios
- Social Media Content Analysis
- YouTube Video Analysis
- Product Review Analysis
pip install pandas numpy matplotlib seaborn nltk scikit-learn wordcloud pip install openai dashscope # For OpenAI and Qwen API access
What does the content-analysis skill do?
Analyze text content using both traditional NLP and LLM-enhanced methods. Extract sentiment, topics, keywords, and insights from various content types including social media posts, articles, reviews, and video content. Use when working with text analysis, sentiment detection, topic modeling, or content optimization.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill content-analysis-liangdabiao-claude-data-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.