Refactored commands to extract reusable skills following the Commands → Skills separation pattern. Each command is now <50 lines and references skill files for detailed knowledge. Plugins refactored: - claude-config-maintainer: 5 commands → 7 skills - code-sentinel: 3 commands → 2 skills - contract-validator: 5 commands → 6 skills - data-platform: 10 commands → 6 skills - doc-guardian: 5 commands → 6 skills (replaced nested dir) - git-flow: 8 commands → 7 skills Skills contain: workflows, validation rules, conventions, reference data, tool documentation Commands now contain: YAML frontmatter, agent assignment, skills list, brief workflow steps, parameters Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
49 lines
996 B
Markdown
49 lines
996 B
Markdown
# /data-quality - Data Quality Assessment
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## Skills to Load
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- skills/data-profiling.md
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- skills/mcp-tools-reference.md
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- skills/visual-header.md
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## Visual Output
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Display header: `DATA-PLATFORM - Data Quality`
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## Usage
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```
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/data-quality <data_ref> [--strict]
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```
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## Workflow
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Execute `skills/data-profiling.md` quality assessment:
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1. **Get data reference**: Use `list_data` if none provided
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2. **Run quality checks**: Nulls, duplicates, types, outliers
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3. **Calculate score**: Apply weighted scoring formula
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4. **Generate report**: Issues and recommendations
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## Options
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| Flag | Description |
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|------|-------------|
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| `--strict` | Stricter thresholds (WARN at 1%, FAIL at 5% nulls) |
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## Examples
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```
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/data-quality sales_data
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/data-quality df_customers --strict
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```
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## Quality Thresholds
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See `skills/data-profiling.md` for detailed thresholds and scoring.
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## Required MCP Tools
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- `describe` - Get statistical summary
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- `head` - Preview data
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- `list_data` - List available DataFrames
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