Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →docxology/Data Visualization Library
Orchestrates matplotlib and seaborn pipelines for rendering figures.
Passed 11 of 16 test cases with the skill, and 4 of 16 without it.
and 10 more in the full report
12 fixed3 passed either way5 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need a Python script for our `src/visualization/` module that generates a network graph from our dataset and saves the output plot to a file for inclusion in an accessible PDF report. The graph layout needs to remain consistent every time the script runs, and the code should run cleanly in a headless server environment without opening interactive GUI windows. Please provide the complete visualization code.
| Checked | Without skill | With skill |
|---|---|---|
| Sets font sizes to at least 16pt across all visual text elements. | Missed | Passed |
| Sets random_state=42 for the network layout algorithm. | Passed | Passed |
| Does not call plt.show() in the execution path. | Passed | Passed |
The instructions your model reads when the skill loads.
You are interacting with the src/visualization/ rendering layer.
random_state=42) for algorithmic layouts like spring_layout in NetworkX spatial mappings. Layouts should not drastically warp across identical runs.plt.show()) mid-pipeline. The Agg backend must be functional.test cases passed, vs 4 / 16 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.