faker-synthetic-data
faker-synthetic-data
The axis this skill owns
A de-identification step has already run: direct identifiers are nulled, redacted, or replaced with a placeholder. The dataset is private but broken, because joins fail and validators reject empty fields. This skill covers putting usable values back and the privacy decisions that forces: keeping a shared identifier consistent so joins survive, deterministic versus random substitution, preserving a validated field shape, and proving the result is safe rather than merely realistic.
It deliberately does not cover the generic mechanics of a fake-data library: installation, the provider catalogue, per-locale tours, or factory patterns for building fixtures from nothing. Nor does it cover detecting PII or choosing between masking operators such as hashing, tokenisation, and nulling. Both happen before this step.