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>
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name
| name |
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| seed validate |
/seed validate - Validate Seed Data
Skills to Load
- skills/schema-inference.md
- skills/relationship-resolution.md
- skills/visual-header.md
Visual Output
Display header: DATA-SEED - Validate
Usage
/seed validate [--profile <name>] [--strict]
Workflow
1. Load Schema and Seed Data
- Parse schema from configured source using
skills/schema-inference.md - Load generated seed data from output directory
- If no seed data found, report error and suggest running
/seed generate
2. Type Constraint Validation
- For each column in each table, verify generated values match declared type:
- Integer columns contain only integers within range (INT, BIGINT, SMALLINT)
- String columns respect max length constraints (VARCHAR(N))
- Date/datetime columns contain parseable date values
- Boolean columns contain only true/false/null
- Decimal columns respect precision and scale
- UUID columns contain valid UUID format
- Enum columns contain only declared valid values
3. Referential Integrity Validation
- Use
skills/relationship-resolution.mdto build FK dependency graph - For every foreign key value in child tables, verify parent row exists
- For self-referential keys, verify referenced row exists in same table
- For many-to-many through tables, verify both sides exist
- Report orphaned references as FAIL
4. Constraint Compliance
- NOT NULL: verify no null values in required columns
- UNIQUE: verify no duplicate values in unique columns or unique-together groups
- CHECK constraints: evaluate check expressions against generated data
- Default values: verify defaults are applied where column value is omitted
5. Statistical Validation (--strict mode)
- Verify null ratio matches profile configuration within tolerance
- Verify edge case ratio matches profile configuration
- Verify row counts match profile specification
- Verify distribution of enum/category values is not unrealistically uniform
- Verify date ranges are within reasonable bounds (not year 9999)
6. Report
- Display validation results grouped by severity:
- FAIL: Type mismatch, FK violation, NOT NULL violation, UNIQUE violation
- WARN: Unrealistic distributions, unexpected null ratios, date range issues
- INFO: Statistics summary, coverage metrics
+----------------------------------------------------------------------+
| DATA-SEED - Validate |
| Profile: medium |
+----------------------------------------------------------------------+
Tables Validated: 8
Rows Checked: 1,450
Constraints Verified: 42
FAIL (0)
No blocking violations found.
WARN (2)
1. [orders.created_at] Date range spans 200 years
Suggestion: Constrain date generator to recent years
2. [users.email] 3 duplicate values detected
Suggestion: Increase faker uniqueness retry count
INFO (1)
1. [order_items] Null ratio 0.12 (profile target: 0.10)
Within acceptable tolerance.
VERDICT: PASS (0 blocking issues)
Examples
/seed validate # Standard validation
/seed validate --profile large # Validate large profile data
/seed validate --strict # Include statistical checks