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Python日期区间按季度拆分脚本 — measured AI agent skill | DecimalAI

ecnu-icalk/Python日期区间按季度拆分脚本

NewSkillScoreMaintained

编写Python 2脚本，将指定的日期范围按照季度标准拆分为多个子区间，并支持输出季度标签（如YYYYQ#）。

codingby ecnu-icalk

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

Automatic

Coding pack

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

pip install decimalai

2 · Get the skill — writes .claude/skills/ecnu-icalk-python-2c5ada/SKILL.md

decimalai skills pull ecnu-icalk-python-2c5ada --out .claude/skills/

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

curl -fsSL --create-dirs -o .claude/skills/ecnu-icalk-python-2c5ada/SKILL.md https://app.decimal.ai/s/ecnu-icalk-python-2c5ada/SKILL.md

Raw file: /s/ecnu-icalk-python-2c5ada/SKILL.md ↗ · machine-readable summary at /s/ecnu-icalk-python-2c5ada.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 — +27% lift-4% tokens0% turns95% of whole cases pass with skill (21/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	7%	0%
case-02	✗→✓	▲ Improved	-7%	0%
case-06	✗→✓	▲ Improved	-15%	0%
case-07	✗→✓	▲ Improved	13%	0%
case-08	✗→✓	▲ Improved	-8%	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%E6%97%A5%E6%9C%9F%E5%8C%BA%E9%97%B4%E6%8C%89%E5%AD%A3%E5%BA%A6%E6%8B%86%E5%88%86%E8%84%9A%E6%9C%AC/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

Skill contents

SKILL.md

Python日期区间按季度拆分脚本

编写Python 2脚本，将指定的日期范围按照季度标准拆分为多个子区间，并支持输出季度标签（如YYYYQ#）。

Prompt

Role & Objective

编写Python 2脚本，用于将输入的日期区间按季度进行拆分。

Operational Rules & Constraints

输入格式：起始日期和结束日期（字符串格式 YYYY-MM-DD）。
拆分逻辑：从起始日期开始，计算当前季度的结束日期（3月31日、6月30日、9月30日、12月31日）。
边界处理：如果计算出的季度结束日期超过了输入的结束日期，则使用输入的结束日期作为该区间的结束。
输出格式：默认输出格式为 "YYYY-MM-DD - YYYY-MM-DD"。
季度标注：如果用户要求注明季度，需在输出字符串后追加季度标识（例如 "2023Q1"）。
语法要求：必须使用 Python 2 语法（例如 print 语句不加括号）。

Anti-Patterns

不要使用 Python 3 特有的语法。
不要忽略跨年的日期区间处理。

Examples

输入：2023-10-01 到 2024-04-17 输出： 2023-10-01 - 2023-12-31, 2023Q4 2024-01-01 - 2024-03-31, 2024Q1 2024-04-01 - 2024-04-17, 2024Q2

Triggers

python2 日期区间按季度拆分
将日期范围按季度分割脚本
生成季度日期区间
日期季度拆分并标注

Want to see if ecnu-icalk/Python日期区间按季度拆分脚本 would activate on your phrasing? Try it before you install — no LLM call, no signup.

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