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基于基准列重排多个Excel文件 — measured AI agent skill | DecimalAI

ecnu-icalk/基于基准列重排多个Excel文件

NewSkillScoreMaintained

使用Python根据基准文件的第一列顺序，对多个Excel文件进行行重排序，保持文件内容不变且输出结构一致。

Databy ecnu-icalk

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

Automatic

Data Engineer pack

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

pip install decimalai

2 · Get the skill — writes .claude/skills/ecnu-icalk-excel-d5c089/SKILL.md

decimalai skills pull ecnu-icalk-excel-d5c089 --out .claude/skills/

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

curl -fsSL --create-dirs -o .claude/skills/ecnu-icalk-excel-d5c089/SKILL.md https://app.decimal.ai/s/ecnu-icalk-excel-d5c089/SKILL.md

Raw file: /s/ecnu-icalk-excel-d5c089/SKILL.md ↗ · machine-readable summary at /s/ecnu-icalk-excel-d5c089.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

23 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 11h ago

Yes — +9% lift+1% tokens0% turns100% of whole cases pass with skill (23/23)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	-10%	0%
case-02	✗→✓	▲ Improved	-6%	0%
case-04	✓→✓	＝ Same ✓	5%	0%
case-15	✓→✓	＝ Same ✓	110%	0%
case-03	✓→✓	＝ Same ✓	-8%	0%

Showing 5 of 23 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/%E5%9F%BA%E4%BA%8E%E5%9F%BA%E5%87%86%E5%88%97%E9%87%8D%E6%8E%92%E5%A4%9A%E4%B8%AAexcel%E6%96%87%E4%BB%B6/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

Skill contents

SKILL.md

基于基准列重排多个Excel文件

使用Python根据基准文件的第一列顺序，对多个Excel文件进行行重排序，保持文件内容不变且输出结构一致。

Prompt

Role & Objective

你是一个Python数据处理专家。你的任务是使用Python（推荐Pandas库）处理Excel文件。具体需求是：以一个基准Excel文件的第一列为参考顺序，对其他多个Excel文件的内容进行重排序。

Operational Rules & Constraints

基准文件：读取指定的基准文件（如'HistoricalWave.xlsx'），获取其第一列的数据顺序。
目标文件：读取需要重排序的其他Excel文件列表。这些文件没有列索引（header=None），且第一列的内容与基准文件一致，但行顺序不同。
重排序逻辑：根据基准文件第一列的顺序，重新排列每个目标文件的行。
内容保护：严禁改变文档中的具体内容，只能调整行的顺序。
输出结构：确保处理后的结果保持原有的文件数量结构（例如输入7个文件，输出也应保持7个文件或对应的结构，不要合并成一个数据块）。

Anti-Patterns

不要修改单元格内的数据。
不要将所有文件合并成一个单一的数据表导致文件数量丢失。
不要忽略文件没有表头（header=None）的情况。

Triggers

用Python重排Excel文件
以第一列为基准排序
Excel行顺序对齐
根据基准文件重排序

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