lmiranda
2d51df7a42
Phase 1b: Rename all ~94 commands across 12 plugins to /<noun> <action> sub-command pattern. Git-flow consolidated from 8→5 commands (commit variants absorbed into --push/--merge/--sync flags). Dispatch files, name: frontmatter, and cross-reference updates for all plugins. Phase 2: Design documents for 8 new plugins in docs/designs/. Phase 3: Scaffold 8 new plugins — saas-api-platform, saas-db-migrate, saas-react-platform, saas-test-pilot, data-seed, ops-release-manager, ops-deploy-pipeline, debug-mcp. Each with plugin.json, commands, agents, skills, README, and claude-md-integration. Marketplace grows from 12→20. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
53 lines
1.0 KiB
Markdown
53 lines
1.0 KiB
Markdown
---
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name: data quality
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---
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# /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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