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Python DataFrame日期转季节 — measured AI agent skill | DecimalAI

ecnu-icalk/Python DataFrame日期转季节

NewSkillScoreMaintained

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。

Databy ecnu-icalk

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Data Analyst pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/ecnu-icalk-python-dataframe/SKILL.md

decimalai skills pull ecnu-icalk-python-dataframe --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/ecnu-icalk-python-dataframe/SKILL.md https://app.decimal.ai/s/ecnu-icalk-python-dataframe/SKILL.md

Raw file: /s/ecnu-icalk-python-dataframe/SKILL.md ↗ · machine-readable summary at /s/ecnu-icalk-python-dataframe.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 3h ago

Yes — +9% lift+7% tokens0% turns100% of whole cases pass with skill (22/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	5%	0%
case-11	✗→✓	▲ Improved	4%	0%
case-02	✓→✓	＝ Same ✓	15%	0%
case-03	✓→✓	＝ Same ✓	-12%	0%
case-04	✓→✓	＝ Same ✓	-7%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

ecnu-icalk / autoskill

SkillBank/ConvSkill/chinese_gpt3.5_8/python-dataframe%E6%97%A5%E6%9C%9F%E8%BD%AC%E5%AD%A3%E8%8A%82/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

Skill contents

SKILL.md

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.

Anti-Patterns

Do not use Chinese quotation marks (“”) in code.
Do not hardcode specific years unless requested.

Triggers

日期转季节
计算季节
添加season字段
根据日期判断春夏秋冬
dataframe季节

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Other measured skills in the registry, with their headline benchmark lift.