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).
$npx -y skills add policyengine/policyengine-claude --skill policyengine-dataInstalls into the current project.
Run `npx skills use "https://github.com/policyengine/policyengine-claude" --skill "policyengine/policyengine-claude/policyengine-data"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/policyengine/policyengine-claude" that are relevant to the current task. Run `npx skills add "https://github.com/policyengine/policyengine-claude"` and select the relevant skills, then follow their instructions.