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Export conversation MATLAB code to a clean, runnable .m script.
Passed 17 of 20 test cases with the skill, and 11 of 20 without it.
and 5 more in the full report
7 fixed12 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
We just finished running a Python session using Pandas and SciPy in Jupyter. Please export all our Python code into a runnable script.
| Checked | Without skill | With skill |
|---|---|---|
| Declines exporting Python code as a MATLAB script. | Missed | Passed |
The instructions your model reads when the skill loads.
Extracts all MATLAB code executed during the current conversation, assembles it into a well-documented, runnable .m script, and saves it to the working directory.
| Step | Action |
|---|---|
| 1. Scan | Walk assistant messages chronologically; extract each executed MATLAB code block |
| 2. Deduplicate | Keep only the final successful version of repeated blocks |
| 3. Order | Arrange into logical workflow order (setup, model, config, analysis, visualization) |
| 4. Format | Add %% section headers, consolidate parameters at top |
| 5. Save | Write to Results/<descriptive_name>.m under the working directory |
addpath calls needed for utility functions used during the sessionsbm wrapperstest cases passed, vs 11 / 20 without
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