Generate synthetic datasets from schemas, real data, or LLM-driven personas. Tabular fit-and-sample (SDV-style), PII swap (Faker), LLM-assisted real-to-synth conversion, and quality/privacy evaluation.
Reference card of open-source synthetic data tools, when to use each, install commands, and design patterns.
Generate synthetic text records (support tickets, reviews, medical notes, etc.) using Claude based on a persona pool and schema.
Run fidelity, utility, and privacy diagnostics on a synthetic dataset against the real source, generating a markdown report.
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.
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Generate synthetic datasets — from a schema, from a real source, or via LLM-driven persona generation. Includes utilities for PII replacement, real-to-synth transformation, and quality/privacy evaluation.
tools-reference — Reference card of recommended OSS tooling (SDV, Synthcity, Faker, Mimesis, DataSynthesizer, ydata-synthetic, Gretel, time-series and LLM options).setup-workspace — Initialize a workspace folder (inputs/, outputs/, reports/, configs/) and a requirements.txt.tabular-from-schema — Generate tabular data from a JSON schema (Faker/Mimesis + numpy distributions).tabular-from-real — Fit SDV (GaussianCopula, CTGAN, TVAE) on a real CSV and sample synthetic rows preserving marginals + correlations.replace-pii — Swap PII columns in a real dataset for realistic Faker values, with deterministic mapping for referential integrity.text-records-llm — Generate synthetic text records (tickets, reviews, notes) via the Claude CLI with persona/style controls and dedup.real-to-synth-llm — LLM-driven transformation of real records into synthetic counterparts that preserve semantic structure but change all specifics.evaluate-quality — Fidelity, utility, and privacy diagnostics (SDMetrics for tabular; embedding-based leakage and n-gram diversity for text).claude plugins install synthetic-data@danielrosehill
Or, scoped to a single project:
claude plugins install synthetic-data@danielrosehill --scope project
MIT
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