算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
generation-runtime【设计与创意】Run DataDesigner through the Python API for validate, check_models, preview, create, workflow chaining, resume, export, and runtime troubleshooting.
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Use this sub-skill when you need to execute DataDesigner from Python rather than author column configs or map CLI commands.
DataDesigner, DatasetCreationResults, PreviewResults, RunConfig, and workflow signatures.DataDesigner.validate, preview, create, acreate, check_models, set_run_config, and compose_workflow.PreviewResults and DatasetCreationResults outputs, artifact paths, processor outputs, export files, and resume checkpoints.validate still works even when no usable model aliases exist.validate before check_models; validate only checks the configuration shape and can succeed without usable model aliases.RunConfig(display_tui=False, otel_metrics_port=None) when you want quiet local generation and no terminal UI.buffer_size, preserve_dropped_columns, and the workflow stage layout unchanged when resuming a run.push_to_hub from the smoke helper; it requires network access and a valid Hugging Face token.