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{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"name": "synthdata-plugin-marketplace",
"description": "Claude Code plugin registry for synthetic data generation",
"version": "0.3.0",
"plugins": [
{
"name": "synthdata",
"description": "General-purpose synthetic data toolkit — generate, extract, extend, compute, anonymize, and serve datasets across domains",
"version": "0.3.0",
"path": ".",
"author": {
"name": "Dan Rapp"
},
"tags": ["synthetic-data", "test-data", "faker", "schema-driven"],
"skills": [
{
"name": "synthdata-generate",
"description": "Interview-driven synthetic dataset generator — pick a template or build custom schema, outputs xlsx/csv/json/sql/parquet"
},
{
"name": "synthdata-extract",
"description": "Extract tabular data from Excel workbooks to JSON, auto-detecting title rows and header rows"
},
{
"name": "synthdata-extend",
"description": "Add rows or new columns to an existing synthetic dataset while preserving FK integrity and profile distributions"
},
{
"name": "synthdata-anonymize",
"description": "Anonymize a real dataset into a synthetic equivalent — detect PII, replace with Faker values, preserve distributions"
},
{
"name": "synthdata-compute",
"description": "Derive aggregated, scored, or transformed tables from existing datasets — monthly rollups, composite scores, percentile ranks"
},
{
"name": "synthdata-serve",
"description": "Spin up a read-only MCP server from a dataset — auto-generates queryable tools for listing, filtering, sampling, and statistics"
},
{
"name": "synthdata-prompt-builder",
"description": "Plan multi-step data generation workflows — identify raw vs derived tables, match to templates, output sequenced prompts"
},
{
"name": "synthdata-tutorial",
"description": "Guided interactive walkthrough of the synthdata skills"
}
]
}
]
}