Jinkō CMA-ES Calibration SDK Workflows

The calibration manager API is CMA-ES only — no type/method discriminator exists. "Subsampling" is an unrelated VPop-generator feature, not a calibration type. This skill is pure SDK mechanics: no defaults, no diagnostics, no when-to-calibrate guidance.

PREREQUISITE: This skill needs an initialized jinko-sdk connection and an SDK satisfying its metadata.requires_sdk range. Run the jinko-sdk-setup skill (../jinko-sdk-setup/SKILL.md) and proceed only once its check passes. If that skill is not found, install it from novainsilico/jinko-skills.

Minimum Calibration

• parameters: priors to calibrate (required, ≥1).
• At least one fitness-function source (required): dataTableDesigns (data table must report metadata.public.validForFitnessFunction: True, see jinko-data-table) and/or an advanced output set with objectives (see jinko-output-set). This skill creates neither input.
• CalibrationOptions: seed + thresholdWeightedScore are schema-required and have contract defaults 0 and 1; populationSize + numberOfIterations have no contract defaults and are functionally required. The bundled creation script requires population size and iteration count, and uses the contract defaults for omitted seed and threshold; pass all four explicitly when reproducibility policy requires it.