Files
leo-claude-mktplace/plugins/data-seed/commands/seed-generate.md
lmiranda 2d51df7a42 feat(marketplace): command consolidation + 8 new plugins (v8.1.0 → v9.0.0) [BREAKING]
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>
2026-02-06 14:52:11 -05:00

72 lines
2.6 KiB
Markdown

---
name: seed generate
---
# /seed generate - Generate Seed Data
## Skills to Load
- skills/schema-inference.md
- skills/faker-patterns.md
- skills/relationship-resolution.md
- skills/visual-header.md
## Visual Output
Display header: `DATA-SEED - Generate`
## Usage
```
/seed generate [table_name] [--profile <name>] [--rows <count>] [--format <sql|json|csv>] [--locale <locale>]
```
## Workflow
### 1. Parse Schema
- Load schema from configured source (see `/seed setup`)
- Extract tables, columns, types, constraints, and relationships
- Use `skills/schema-inference.md` to normalize types across ORM dialects
### 2. Resolve Generation Order
- Build dependency graph from foreign key relationships
- Use `skills/relationship-resolution.md` to determine insertion order
- Handle circular dependencies via deferred constraint resolution
- If specific `table_name` provided, generate only that table plus its dependencies
### 3. Select Profile
- Load profile from `seed-profiles.json` (default: `medium`)
- Override row count if `--rows` specified
- Apply profile-specific edge case ratios and custom value overrides
### 4. Generate Data
- For each table in dependency order:
- Map column types to faker providers using `skills/faker-patterns.md`
- Respect NOT NULL constraints (never generate null for required fields)
- Respect UNIQUE constraints (track generated values, retry on collision)
- Generate foreign key values from previously generated parent rows
- Apply locale-specific patterns for names, addresses, phone numbers
- Handle enum/check constraints by selecting from valid values only
- Include edge cases per profile settings (empty strings, boundary values, unicode)
### 5. Output Results
- Write generated data in requested format to configured output directory
- Display summary: tables generated, row counts, file paths
- Report any constraint violations or generation warnings
## Examples
```
/seed generate # All tables, medium profile
/seed generate users # Only users table + dependencies
/seed generate --profile large # All tables, 1000 rows each
/seed generate orders --rows 50 # 50 order rows
/seed generate --format json # Output as JSON fixtures
/seed generate --locale pt_BR # Brazilian Portuguese data
```
## Edge Cases
- Self-referential foreign keys (e.g., `manager_id` on `employees`): generate root rows first, then assign managers from existing rows
- Many-to-many through tables: generate both sides first, then populate junction table
- Nullable foreign keys: generate null values at the profile's configured null ratio