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lmiranda b5d36865ee feat(plugins): add Visual Output headers to all other plugin commands

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>

2026-01-28 17:24:49 -05:00

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/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

Get data reference:
- If no data_ref provided, use list_data to show available options
- Validate the data_ref exists
Generate profile:
- Use describe for statistical summary
- Analyze null counts, unique values, data types
Quality assessment:
- Identify columns with high null percentage
- Flag potential data quality issues
- Suggest cleaning operations if needed
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

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