Generate a Python code skeleton from an experiment blueprint
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Take the experiment blueprint and produce a runnable Python code skeleton that implements the proposed method, baselines, training loops, evaluation harness, and ablation configurations.
None. This skill operates entirely through LLM code generation based on the experiment blueprint.
experiment_blueprint: Path to papers/experiment_blueprint.json produced by the planning skillProduces experiments/ directory containing:
data/: Data loading and preprocessing modulesmodels/: Model architecture implementations (proposed method and baselines)training/: Training loop and optimization utilitiesevaluation/: Metric computation and result aggregationconfigs/: YAML configuration files for each experiment and ablation variantrun.py: Main entry point for launching experimentsrequirements.txt: Python dependenciesNo reviews yet. Tell others what you thought.
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