新增16个AI技能：包含图像生成、视频剪辑、数据分析、智能查询等功能模块

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+# CSV Data Summarizer - Resources
+
+---
+
+## 🌟 Connect & Learn More
+
+<div align="center">
+
+### 🚀 **Join Our Community**
+[![Join AI Community](https://img.shields.io/badge/Join-AI%20Community%20(FREE)-blue?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJ3aGl0ZSI+PHBhdGggZD0iTTEyIDJDNi40OCAyIDIgNi40OCAyIDEyczQuNDggMTAgMTAgMTAgMTAtNC40OCAxMC0xMFMxNy41MiAyIDEyIDJ6bTAgM2MxLjY2IDAgMyAxLjM0IDMgM3MtMS4zNCAzLTMgMy0zLTEuMzQtMy0zIDEuMzQtMyAzLTN6bTAgMTQuMmMtMi41IDAtNC43MS0xLjI4LTYtMy4yMi4wMy0xLjk5IDQtMy4wOCA2LTMuMDggMS45OSAwIDUuOTcgMS4wOSA2IDMuMDgtMS4yOSAxLjk0LTMuNSAzLjIyLTYgMy4yMnoiLz48L3N2Zz4=)](https://www.skool.com/ai-for-your-business/about)
+
+### 🔗 **All My Links**
+[![Link Tree](https://img.shields.io/badge/Linktree-Everything-green?style=for-the-badge&logo=linktree&logoColor=white)](https://linktr.ee/corbin_brown)
+
+### 🛠️ **Become a Builder**
+[![YouTube Membership](https://img.shields.io/badge/YouTube-Become%20a%20Builder-red?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/channel/UCJFMlSxcvlZg5yZUYJT0Pug/join)
+
+### 🐦 **Follow on Twitter**
+[![Twitter Follow](https://img.shields.io/badge/Twitter-Follow%20@corbin__braun-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white)](https://twitter.com/corbin_braun)
+
+</div>
+
+---
+
+## Sample Data
+
+The `sample.csv` file contains example sales data with the following columns:
+
+- **date**: Transaction date
+- **product**: Product name (Widget A, B, or C)
+- **quantity**: Number of items sold
+- **revenue**: Total revenue from the transaction
+- **customer_id**: Unique customer identifier
+- **region**: Geographic region (North, South, East, West)
+
+## Usage Examples
+
+### Basic Summary
+```
+Analyze sample.csv
+```
+
+### With Custom CSV
+```
+Here's my sales_data.csv file. Can you summarize it?
+```
+
+### Focus on Specific Insights
+```
+What are the revenue trends in this dataset?
+```
+
+## Testing the Skill
+
+You can test the skill locally before uploading to Claude:
+
+```bash
+# Install dependencies
+pip install -r ../requirements.txt
+
+# Run the analysis
+python ../analyze.py sample.csv
+```
+
+## Expected Output
+
+The analysis will provide:
+
+1. **Dataset dimensions** - Row and column counts
+2. **Column information** - Names and data types
+3. **Summary statistics** - Mean, median, std dev, min/max for numeric columns
+4. **Data quality** - Missing value detection and counts
+5. **Visualizations** - Time-series plots when date columns are present
+
+## Customization
+
+To adapt this skill for your specific use case:
+
+1. Modify `analyze.py` to include domain-specific calculations
+2. Add custom visualization types in the plotting section
+3. Include validation rules specific to your data
+4. Add more sample datasets to test different scenarios
+