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Analyze CSV files in /mnt/data and return concise numeric summaries.
3 of 24 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 3 comparable cases; this report requires 8.
A test case the skill fixed. Same model, same prompt, with and without the skill.
We have a large CSV file `large_event_log.csv` containing millions of rows. How should we inspect its schema and compute event type frequency counts without loading everything into a giant pandas DataFrame?
| Checked | Without skill | With skill |
|---|---|---|
| Inspects schema before processing data rows. | Passed | Passed |
| Uses Python standard library line iteration streaming. | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill when the user asks for quick analysis of tabular data.
head, python csv.DictReader, or both).test cases passed with the skill
More skills from the same source and nearby in the registry, with their headline benchmark lift.