What problem does it solve? Longitudinal researchers bridging the BHPS (SN5151) and Understanding Society (SN6614) surveys often assume variable coding is consistent across the survey bridge, causing silent harmonisation errors in income, employment, education, and health variables. ## Core Features & Use Cases - Coding Difference Lookup: Provides a quick-reference table of known harmonisation status for key variables such as jbstat, fihhmn, NS-SEC, self-rated health, and hiqual. - Harmonisation Code Generation: Produces a standard Python extractor pattern returning pidp, wave, year, variable, and source columns across both surveys. - Unverified Variable Guardrails: Inserts explicit CODING UNVERIFIED markers when a variable's cross-survey coding has not been checked against UKDA user guides. - Use Case: Before writing a cross-wave income analysis, invoke the skill to confirm that BHPS fihhmn is not equivalised while USoc fihhmnnet1_dv is, then generate the correct harmonisation code. ## Quick Start Ask the assistant to run /bhps-wave-crosswalk with a variable concept such as health to check its BHPS and USoc coding before implementing the harmonisation.
