policyengine-data

policyengine-data is a Data pipelines & ETL skill for AI agents, published by PolicyEngine in the policyengine-claude repository on GitHub. Skillspace rates policyengine-data D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Load for PolicyEngine's data layer — how the microdata behind population microsimulations is built, calibrated, versioned, and named. Covers the current Populace stack (Frame kernel, populace-fit conditional models, populace-calibrate weights with L0 sparsity, build/release gates), the certified datasets that flow into policyengine bundles (populace_us_2024 sparse ~57k default, populace_us_2024_acs_local ~1.6M local-area, populace_uk_2023 private), the "one national dataset filtered by geography" local-area philosophy, the calibration diagnostics dashboard, and where data work goes now that policyengine-us-data is archived. Triggers: Populace, Frame, populace-fit, populace-calibrate, calibration target, survey weights, reweighting, imputation, QRF, quantile loss, L0 sparsity, sparse 57k, local-area data, ACS, FRS, WAS, enhanced microdata, DEFAULT_DATASET. NOT for: running simulations (see policyengine) or diagnosing a specific score mismatch (see policyengine-calibration-diagnostics).

Grade

D

Quality

59 / 100

Safety

Passed

GitHub stars

31

Unproven: rated by static analysis only, not yet compared head-to-head.

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