Scientist Plotting

scientist-plotting

Generate plots and plotting scripts from an existing experiment directory. Model judgment and figure design are done by Copilot in-session.

Execution model

This is a Copilot-native model task. Copilot reads results, decides figure structure, writes / edits plotting code; the terminal only runs pure-Python plotting scripts.

Workflow

1. Read the experiment directory's summary JSON, logs, CSVs, NPY files, or existing plots.
2. Decide which metrics and comparisons to display.
3. Create or edit matplotlib / seaborn / pandas plotting code directly.
4. Run the plotting script and inspect the output.
5. If the figure is unclear, iterate.

Input

• folder: experiment directory
• Result file paths and formats
• Figure conventions or paper-layout constraints the user wants preserved

Output

• Plotting script or edits to an existing script
• Output figure paths
• Figure design rationale and the key visual conclusions

Operating principles

• Only invoke this skill when the experiment outputs already exist.
• If result files are incomplete, flag the gap; NEVER fabricate plots.

Forbidden

• NEVER call any workspace-custom plotting model pipeline.
• NEVER use custom model calls in workspace code to "auto-plot."

Deliverable requirements

• Report figure paths.
• Name the source result files used.
• If a figure failed to render, return the real error and a suggested next step.