nanoresearch-experiment

根据实验蓝图生成可运行的 Python 实验代码骨架，含训练/评估/消融配置。

根据实验蓝图生成可运行的 Python 代码骨架，包含模型训练/评估循环、基线实现和消融配置，能直接跑起实验。要把方法从想法变成可执行代码或需要统一实验配置与复现时用。特点是生成完整的训练/评估框架和多种 ablation 设置，能显著减少重复编码工作。

# 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)
3. Produce data loading and preprocessing code for each s