shboost-cmd-plot

To plot a colour‑magnitude diagram (CMD) from S3 parquet data, this Skill fetches the shboost2024 dataset and automatically generates a publication-ready CMD visualization. It uses a local Parquet cache to significantly accelerate repeated analyses of approximately 100,000 stars.

Generating CMD visualizations with this Skill requires Python 3.12 or higher. You also need the dask[dataframe], s3fs, pandas, matplotlib, and seaborn libraries installed in your environment to process the S3 data and render the plots.

Local parquet caching accelerates astronomical data visualization by storing the fetched shboost2024 S3 dataset locally in a file named shboost_cache.parquet. This allows subsequent plotting runs to bypass remote S3 fetching, enabling fast and repeatable visual exploration.

You can export high-resolution CMD plots for publications directly from this Skill. It saves the generated colour-magnitude diagram as a shboost_cmd.png file, which is suitable for papers and presentations.

The best way to handle repeated plotting of 100k-star CMD datasets is using a local cache file. This Skill caches the shboost2024 data locally as a parquet file, avoiding redundant S3 fetches and accelerating research visualizations for astronomy data scientists.