Run fidelity, utility, and privacy diagnostics on a synthetic dataset against the real source, generating a markdown report.
danielrosehill/Claude-Synthetic-Data-Plugin
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Showing 8 of 8 collected skills.
Transform real text records into synthetic counterparts that preserve semantics while changing specifics, using Claude.
Anonymise a real dataset by replacing PII columns with realistic Faker values, preserving structure and referential integrity.
Initialize a synthetic data workspace directory with standard folders, Python requirements, and venv setup.
Fit a generative model on real tabular data and sample synthetic rows preserving correlations and distributions.
Generate a synthetic tabular dataset from a JSON schema describing columns, types, and Faker providers.
Generate synthetic text records (support tickets, reviews, medical notes, etc.) using Claude based on a persona pool and schema.
Reference card of open-source synthetic data tools, when to use each, install commands, and design patterns.