如何在对每个文件使用不同的skiprows值的同时，将dask的dataframe.read_csv与google storage globstring结合使用？

import dask.dataframe as dd
from google.cloud import storage

client = storage.Client()

bucket_name = 'your_bucket_name'
prefix = 'your_folder_path/*.csv'

bucket = client.get_bucket(bucket_name)
blobs = bucket.list_blobs(prefix=prefix)
file_paths = [blob.name for blob in blobs]

dfs = [dd.read_csv(f'gs://{bucket_name}/{file_path}', skiprows=skiprows) for file_path, skiprows in file_paths]
df = dd.concat(dfs)