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name: configuration-and-data description: "Helps agents create, validate, render, and troubleshoot Ludwig configs, schemas, feature declarations, datasets, and preprocessing inputs." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Configuration and Data

Use this sub-skill when the task is about Ludwig YAML/config dictionaries, feature declarations, schema export, preprocessing, synthetic data, data formats, config generation, or dataset-column troubleshooting.

Start here

1. Identify the target workflow: config authoring, config validation/rendering, data preparation, synthetic fixture creation, or LLM-backed config generation.
2. Read configuration.md for config sections and feature/model-type choices.
3. Read data-formats.md for dataset layouts and split-column guidance.
4. For a local fixture, run:

python scripts/make_tiny_dataset.py --output-dir /tmp/ludwig-tiny
python scripts/validate_ludwig_config.py /tmp/ludwig-tiny/config.yaml

5. If validation fails, use troubleshooting.md before moving to training.

Commands and APIs

• CLI: ludwig generate_config, ludwig init_config, ludwig render_config, ludwig export_schema, ludwig preprocess, ludwig synthesize_dataset.
• Python: ludwig.config_generation.generate_config, ludwig.config_generation.get_ludwig_schema_context, ludwig.automl.init_config, LudwigModel.preprocess.
• Config sections: model_type, input_features, output_features, combiner, trainer, backend, preprocessing, hyperopt, adapter, quantization, prompt.

Route onward

• After config/data validation, route training to training-and-experiments.
• Route HPO/AutoML search-space work to automl-and-hyperopt.
• Route prediction-data fixture work to prediction-evaluation-and-inspection.
• Route serving payload construction to serving-export-and-deployment.

Safety notes

• generate_config uses external LLM providers unless mocked or run only with --help; verify API keys before real calls.
• Dataset-zoo and Kaggle/Hugging Face flows can use network and cache. Prefer local CSV/Parquet fixtures for smoke checks.
• preprocess writes processed data/metadata; choose an explicit scratch output path when applicable.