lmiranda
b5d36865ee
Add single-line visual headers to 66 command files across 10 plugins: - clarity-assist (2 commands): 💬 - claude-config-maintainer (5 commands): ⚙️ - cmdb-assistant (11 commands): 🖥️ - code-sentinel (3 commands): 🔒 - contract-validator (5 commands): ✅ - data-platform (10 commands): 📊 - doc-guardian (5 commands): 📝 - git-flow (8 commands): 🔀 - pr-review (7 commands): 🔍 - viz-platform (10 commands): 🎨 Each command now displays a consistent header at execution start: ┌────────────────────────────────────────────────────────────────┐ │ [icon] PLUGIN-NAME · Command Description │ └────────────────────────────────────────────────────────────────┘ Addresses #275 (other plugin commands visual output) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
57 lines
1.5 KiB
Markdown
57 lines
1.5 KiB
Markdown
# /profile - Data Profiling
|
|
|
|
## Visual Output
|
|
|
|
When executing this command, display the plugin header:
|
|
|
|
```
|
|
┌──────────────────────────────────────────────────────────────────┐
|
|
│ 📊 DATA-PLATFORM · Data Profile │
|
|
└──────────────────────────────────────────────────────────────────┘
|
|
```
|
|
|
|
Then proceed with the profiling.
|
|
|
|
Generate statistical profile and quality report for a DataFrame.
|
|
|
|
## Usage
|
|
|
|
```
|
|
/profile <data_ref>
|
|
```
|
|
|
|
## Workflow
|
|
|
|
1. **Get data reference**:
|
|
- If no data_ref provided, use `list_data` to show available options
|
|
- Validate the data_ref exists
|
|
|
|
2. **Generate profile**:
|
|
- Use `describe` for statistical summary
|
|
- Analyze null counts, unique values, data types
|
|
|
|
3. **Quality assessment**:
|
|
- Identify columns with high null percentage
|
|
- Flag potential data quality issues
|
|
- Suggest cleaning operations if needed
|
|
|
|
4. **Report**:
|
|
- Summary statistics per column
|
|
- Data type distribution
|
|
- Memory usage
|
|
- Quality score
|
|
|
|
## Examples
|
|
|
|
```
|
|
/profile sales_data
|
|
/profile df_a1b2c3d4
|
|
```
|
|
|
|
## Available Tools
|
|
|
|
Use these MCP tools:
|
|
- `describe` - Get statistical summary
|
|
- `head` - Preview first rows
|
|
- `list_data` - List available DataFrames
|