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

.opencode/skills/csv-data-summarizer/resources/README.md

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+# CSV Data Summarizer - Resources
+
+---
+
+## 🌟 Connect & Learn More
+
+<div align="center">
+
+### 🚀 **Join Our Community**
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+
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+
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+
+</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
+

.opencode/skills/csv-data-summarizer/resources/sample.csv

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+date,product,quantity,revenue,customer_id,region
+2024-01-15,Widget A,5,129.99,C001,North
+2024-01-16,Widget B,3,89.97,C002,South
+2024-01-17,Widget A,7,181.98,C003,East
+2024-01-18,Widget C,2,199.98,C001,North
+2024-01-19,Widget B,4,119.96,C004,West
+2024-01-20,Widget A,6,155.94,C005,South
+2024-01-21,Widget C,1,99.99,C002,South
+2024-01-22,Widget B,8,239.92,C006,East
+2024-01-23,Widget A,3,77.97,C007,North
+2024-01-24,Widget C,5,499.95,C003,East
+2024-01-25,Widget B,2,59.98,C008,West
+2024-01-26,Widget A,9,233.91,C004,West
+2024-01-27,Widget C,3,299.97,C009,North
+2024-01-28,Widget B,6,179.94,C010,South
+2024-01-29,Widget A,4,103.96,C005,South
+2024-01-30,Widget C,7,699.93,C011,East
+2024-01-31,Widget B,5,149.95,C012,West
+2024-02-01,Widget A,8,207.92,C013,North
+2024-02-02,Widget C,2,199.98,C014,South
+2024-02-03,Widget B,10,299.90,C015,East
+