lmiranda
5bbcee06ac
All dispatch files referenced display names (e.g., `/doc audit`) that don't correspond to real slash commands. Claude Code resolves commands by filename, so `/doc audit` loads `doc.md` with $ARGUMENTS but never routes to `doc-audit.md`. Changes: - Updated 24 dispatch files with explicit Skill tool routing - Added "Command to Invoke" column with plugin-prefixed names - Added $ARGUMENTS matching for automatic routing - RFC dispatch file uses inline handling (no separate command files) - Updated COMMANDS-CHEATSHEET.md with invocation methods - Updated MIGRATION-v9.md with command name mapping explanation Affects: 25 dispatch files across 12 plugins (core, data, saas, ops, debug) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
data-seed Plugin
Test data generation and database seeding with reproducible profiles for Claude Code.
Overview
The data-seed plugin generates realistic test data from schema definitions. It supports multiple ORM dialects (SQLAlchemy, Prisma, Django ORM, raw SQL DDL), handles foreign key dependencies automatically, and produces output in SQL, JSON, or CSV formats.
Key features:
- Schema-first: Parses your existing schema — no manual configuration needed
- Realistic data: Locale-aware faker providers for names, emails, addresses, and more
- Reproducible: Deterministic generation from seed profiles
- Dependency-aware: Resolves FK relationships and generates in correct insertion order
- Profile-based: Reusable profiles for small (unit tests), medium (development), and large (stress tests)
Installation
This plugin is part of the Leo Claude Marketplace. Install via the marketplace or copy the plugins/data-seed/ directory to your Claude Code plugins path.
Commands
| Command | Description |
|---|---|
/seed setup |
Setup wizard — detect schema source, configure output format |
/seed generate |
Generate seed data from schema or models |
/seed apply |
Apply seed data to database or create fixture files |
/seed profile |
Define and manage reusable data profiles |
/seed validate |
Validate seed data against schema constraints |
Quick Start
/seed setup # Detect schema, configure output
/seed generate # Generate data with medium profile
/seed validate # Verify generated data integrity
/seed apply # Write fixture files
Agents
| Agent | Model | Role |
|---|---|---|
seed-generator |
Sonnet | Data generation, profile management, and seed application |
seed-validator |
Haiku | Read-only validation of seed data integrity |
Skills
| Skill | Purpose |
|---|---|
schema-inference |
Parse ORM models and SQL DDL into normalized schema |
faker-patterns |
Map columns to realistic faker providers |
relationship-resolution |
FK dependency ordering and circular dependency handling |
profile-management |
Seed profile CRUD and configuration |
visual-header |
Standard visual output formatting |
Supported Schema Sources
- SQLAlchemy models (2.0+ and legacy 1.x)
- Prisma schema
- Django ORM models
- Raw SQL DDL (CREATE TABLE statements)
- JSON Schema definitions
Output Formats
- SQL INSERT statements
- JSON fixtures (Django-compatible)
- CSV files
- Prisma seed scripts
- Python factory objects
License
MIT License — Part of the Leo Claude Marketplace.