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nanoresearch-experiment

Generate a Python code skeleton from an experiment blueprint

skills/nanoresearch-experiment/SKILL.md

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# Experiment Skill

## Purpose
Take the experiment blueprint and produce a runnable Python code skeleton that implements the proposed method, baselines, training loops, evaluation harness, and ablation configurations.

## Tools Required
None. This skill operates entirely through LLM code generation based on the experiment blueprint.

## Input
- `experiment_blueprint`: Path to `papers/experiment_blueprint.json` produced by the planning skill

## Process
1. Parse the experiment blueprint for datasets, baselines, metrics, and ablation groups
2. Generate the project directory structure (data loaders, models, training, evaluation, configs)