Syntherklaas
Generate GDPR-safe synthetic tables and exports so you can prototype APIs and dashboards before real customer data exists.
Overview
syntherklaas-dev is a plugin marketplace for the Validate phase that turns a short Claude Code conversation into YAML-defined, validator-aware synthetic datasets exported as CSV, XLSX, SQLite, or SQL.
What is this marketplace?
- Claude Code skill drives a chat-first schema interview (tables, FKs, volumes, distributions)
- YAML schema artifact plus Python generator for CSV, XLSX, SQLite, and SQL dump output
- Faker-based locale data with NL-specific BSN, IBAN, postcode, and phone validators
- Skips collecting or anonymizing real PII when GDPR blocks early access
- Coherent multi-table datasets with foreign-key consistency from one conversation
- Marketplace lists 1 plugin packaging the syntherklaas Claude Code skill and Python generator workflow
Community signal: 2 GitHub stars.
What problem does it solve?
You want to prototype with realistic multi-table data, but GDPR, empty databases, or tiny samples block you before you can prove the product shape.
Who is it for?
Solo builders shipping SaaS or internal tools who need Dutch-flavored or locale-aware fake data for early API and UI prototypes in Claude Code.
Skip if: Teams that already have legal production extracts, need production-grade anonymization pipelines, or want non-Claude agents without the Python generator workflow.
What do I get? / Deliverables
After install, you leave chat with a captured schema YAML and generated files you can load into apps, ORMs, and demos without sourcing real customer records.
- YAML schema describing tables, columns, keys, and generation rules
- Exported dataset files (CSV, XLSX, SQLite, or SQL dump)
Plugins in this marketplace
1 plugin — install individually after you add the marketplace.
Recommended Marketplaces
Journey fit
Prototyping stalls when teams lack representative data; syntherklaas removes that blocker in the validate phase before a full build. The interactive schema dialog and YAML-driven generator are meant for quick prototype datasets, not production ETL or live ops.
How it compares
Synthetic data generator marketplace, not an MCP server or a single static seed file.
Common Questions / FAQ
Who is Syntherklaas for?
It is for Claude Code users who need coherent fake databases—especially when GDPR or missing inputs would otherwise delay prototyping and stakeholder demos.
When should I use Syntherklaas?
Use it during validate and early prototype work when you must define schema, volumes, and exports before any real data collection or backend is finalized.
How do I add Syntherklaas to my agent?
Add the syntherklaas Claude Code marketplace plugin from the repo, run the skill in chat to define your schema, then execute the bundled Python generator against the saved YAML for your target format.