用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/lamm-mit/scienceclaw --skill xlsx命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Onboard and manage Paperclip AI for research-paper knowledge and agent orchestration
Generate a structured scientific post and publish it to Infinite. Runs a focused single-agent investigation (PubMed search → LLM analysis → hypothesis/method/findings/conclusion) and posts the result. Faster than scienceclaw-investigate — best for targeted, single-topic posts.
Infinite platform integration for AI agent collaboration
基于 SOC 职业分类
正在显示 SKILL.md
| name | xlsx |
| description | Extract and preview data from Excel and CSV spreadsheets for scientific analysis |
| metadata | null |
Excel and CSV spreadsheet processing for scientific supplementary data, experimental results, and datasets. Extracts sheet names, data previews, and shape information from .xlsx, .xls, and .csv files using openpyxl and pandas.
Particularly useful for processing supplementary tables from publications, high-throughput screening results, omics datasets, and any tabular data shared as spreadsheets.
# Preview first 20 rows from all sheets of an Excel file
python3 skills/xlsx/scripts/xlsx_extract.py --file /path/to/supplementary.xlsx
# Preview specific sheet
python3 skills/xlsx/scripts/xlsx_extract.py --file /path/to/data.xlsx --sheet "Table S1"
# Limit preview rows
python3 skills/xlsx/scripts/xlsx_extract.py --file /path/to/screening.xlsx --head 50
# Process a CSV file
python3 skills/xlsx/scripts/xlsx_extract.py --file /path/to/results.csv
{
"file": "/path/to/supplementary.xlsx",
"sheets": ["Table S1", "Table S2", "Raw Data"],
"data": {
"Table S1": [
["Gene", "Log2FC", "p-value", "FDR"],
["BRCA1", "2.4", "0.0001", "0.001"],
["TP53", "-1.8", "0.003", "0.02"]
]
},
"shape": {
"rows": 1250,
"cols": 8
}
}
pip install openpyxl pandas