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>
60 lines
1.8 KiB
Markdown
60 lines
1.8 KiB
Markdown
---
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name: seed setup
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---
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# /seed setup - Data Seed Setup Wizard
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## Skills to Load
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- skills/schema-inference.md
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- skills/visual-header.md
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## Visual Output
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Display header: `DATA-SEED - Setup Wizard`
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## Usage
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```
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/seed setup
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```
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## Workflow
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### Phase 1: Environment Detection
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- Detect project type: Python (SQLAlchemy, Django ORM), Node.js (Prisma, TypeORM), or raw SQL
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- Check for existing schema files: `schema.prisma`, `models.py`, `*.sql` DDL files
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- Identify package manager and installed ORM libraries
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### Phase 2: Schema Source Configuration
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- Ask user to confirm detected schema source or specify manually
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- Supported sources:
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- SQLAlchemy models (`models.py`, `models/` directory)
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- Prisma schema (`prisma/schema.prisma`)
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- Django models (`models.py` with Django imports)
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- Raw SQL DDL files (`*.sql` with CREATE TABLE statements)
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- JSON Schema definitions (`*.schema.json`)
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- Store schema source path for future commands
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### Phase 3: Output Configuration
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- Ask preferred output format: SQL inserts, JSON fixtures, CSV files, or ORM factory objects
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- Ask preferred output directory (default: `seeds/` or `fixtures/`)
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- Ask default locale for faker data (default: `en_US`)
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### Phase 4: Profile Initialization
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- Create default profiles if none exist:
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- `small` — 10 rows per table, minimal relationships
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- `medium` — 100 rows per table, realistic relationships
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- `large` — 1000 rows per table, stress-test volume
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- Store profiles in `seed-profiles.json` in output directory
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### Phase 5: Validation
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- Verify schema can be parsed from detected source
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- Display summary with detected tables, column counts, and relationship map
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- Inform user of available commands
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## Important Notes
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- Uses Bash, Read, Write, AskUserQuestion tools
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- Does not require database connection (schema-first approach)
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- Profile definitions are portable across environments
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