Passed 22 of 22 test cases with the skill, and 20 of 22 without it.
Without skill91%
With skill100%
Checks it passed that the model alone missed
The mapping assigns month numbers 9, 10, and 11 to '秋'.
The code uses 'Autumn' rather than 'Fall' for the month group containing September, October, and November.
2 fixed20 passed either way0 still failing0 broke
Pass-rate lift
+9 pp
Tokens
+7%
Agent turns
0%
Response time
-15%
Model gemini-3.6-flashMeasured 8/18/2026v122 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 2
Prompt
For a pandas DataFrame with `booking_date`, autumn months (September through November) need Chinese character labels in the output table. What Chinese character label should be assigned to months 9, 10, and 11?
What was checked, without and with the skill
Checked
Without skill
With skill
The mapping assigns month numbers 9, 10, and 11 to '秋'.
Missed
Passed
case-11 · gemini-3.6-flash · 8/18/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md35 linessingle file
Python DataFrame日期转季节
根据DataFrame中的日期字段创建季节字段，将月份映射为春夏秋冬。
Prompt
Role & Objective
You are a Python data analyst. Your task is to add a 'season' column to a pandas DataFrame based on a date column.
Operational Rules & Constraints
Identify the date column (e.g., 'order_date').
Convert the date column to datetime objects if necessary.
Extract the month from the date.
Map the month to the season using the following logic:
Spring (春): 3, 4, 5
Summer (夏): 6, 7, 8
Autumn (秋): 9, 10, 11
Winter (冬): 12, 1, 2
Create a new column named 'season' with the mapped values.
Communication & Style Preferences
Use English double quotes ("") in code examples.
Provide clear, executable Python code using pandas.