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Agent Skill · 研究检索

excel-automation(卓越自动化)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

excel-automation 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,674 个 Skill 里排第 21,898。

总安装 4,725周安装 193GitHub Stars 956下载 1,529核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:excel-automation(卓越自动化)
来源仓库:https://github.com/daymade/claude-code-skills
仓库路径:skills/excel-automation
安装命令:
npx skills add https://github.com/daymade/claude-code-skills --skill excel-automation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/daymade/claude-code-skills --skill excel-automation

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

excel-automation 实现 macOS 环境下 Excel 文件的自动化创建与控制。支持 openpyxl 格式化输出与复杂 xlsm 宏文件解析两种模式。可通过 AppleScript 调用原生 Excel 应用,规避 Python 驱动不稳定问题。提供超时保护机制防止界面卡死,适合后台批量报表生成任务。

处理敏感数据时应启用脱敏选项,并在写入前二次确认操作权限。

来源仓库内路径:skills/excel-automation

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/daymade/claude-code-skills --skill excel-autom…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

excel-automation 怎么安装?

在终端执行 npx skills add https://github.com/daymade/claude-code-skills --skill excel-automation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

excel-automation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

excel-automation 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

excel-automation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

excel-automation 用的人多吗?

公开数据是累计安装 4,725 次,近一周安装 193 次,下载 1,529 次,GitHub 956 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

excel-automation 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
excel-automation

卓越自动化 · 本页

4,725956需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Excel Automation

Create professional Excel files, parse complex financial models, and control Excel on macOS.

Quick Start

# Create a formatted Excel report
uv run --with openpyxl scripts/create_formatted_excel.py output.xlsx

# Parse a complex xlsm that openpyxl can't handle
uv run scripts/parse_complex_excel.py model.xlsm              # List sheets
uv run scripts/parse_complex_excel.py model.xlsm "DCF"        # Extract a sheet
uv run scripts/parse_complex_excel.py model.xlsm --fix        # Fix corrupted names

# Control Excel via AppleScript (with timeout to prevent hangs)
timeout 5 osascript -e 'tell application "Microsoft Excel" to activate'

Overview

Three capabilities:

CapabilityToolWhen to Use
Create formatted ExcelopenpyxlReports, mockups, dashboards
Parse complex xlsm/xlsxzipfile + xml.etreeFinancial models, VBA workbooks, >1MB files
Control Excel windowAppleScript (osascript)Zoom, scroll, select cells programmatically

Tool Selection Decision Tree

Is the file simple (data export, no VBA, <1MB)?
├─ YES → openpyxl or pandas
└─ NO
   ├─ Is it .xlsm or from investment bank / >1MB?
   │   └─ YES → zipfile + xml.etree.ElementTree (stdlib)
   └─ Is it truly .xls (BIFF format)?
       └─ YES → xlrd

Signals of "complex" Excel: file >1MB, .xlsm extension, from investment bank/broker, contains VBA macros.

IMPORTANT: Always run file <path> first — extensions lie. A .xls file may actually be a ZIP-based xlsx.

Creating Excel Files (openpyxl)

Professional Color Convention (Investment Banking Standard)

ColorRGB CodeMeaning
Blue0000FFUser input / assumption
Black000000Calculated value
Green008000Cross-sheet reference
White on dark blueFFFFFF on 4472C4Section headers
Dark blue text1F4E79Title

Core Formatting Patterns

from openpyxl.styles import Font, PatternFill, Border, Side, Alignment

# Fonts
BLUE_FONT = Font(color="0000FF", size=10, name="Calibri")
BLACK_FONT_BOLD = Font(color="000000", size=10, name="Calibri", bold=True)
GREEN_FONT = Font(color="008000", size=10, name="Calibri")
HEADER_FONT = Font(color="FFFFFF", size=12, name="Calibri", bold=True)

# Fills
DARK_BLUE_FILL = PatternFill("solid", fgColor="4472C4")
LIGHT_BLUE_FILL = PatternFill("solid", fgColor="D9E1F2")
INPUT_GREEN_FILL = PatternFill("solid", fgColor="E2EFDA")
LIGHT_GRAY_FILL = PatternFill("solid", fgColor="F2F2F2")

# Borders
THIN_BORDER = Border(bottom=Side(style="thin", color="B2B2B2"))
BOTTOM_DOUBLE = Border(bottom=Side(style="double", color="000000"))

Number Format Codes

FormatCodeExample
Currency'$#,##0'$1,234
Currency with decimals'$#,##0.00'$1,234.56
Percentage'0.0%'12.3%
Percentage (2 decimal)'0.00%'12.34%
Number with commas'#,##0'1,234
Multiplier'0.0x'1.5x

Conditional Formatting (Sensitivity Tables)

Red-to-green gradient for sensitivity analysis:

from openpyxl.formatting.rule import ColorScaleRule

rule = ColorScaleRule(
    start_type="min", start_color="F8696B",   # Red (low)
    mid_type="percentile", mid_value=50, mid_color="FFEB84",  # Yellow (mid)
    end_type="max", end_color="63BE7B"         # Green (high)
)
ws.conditional_formatting.add(f"B2:F6", rule)

Execution

uv run --with openpyxl scripts/create_formatted_excel.py

Full template script: See scripts/create_formatted_excel.py

Parsing Complex Excel (zipfile + xml)

When openpyxl fails on complex xlsm files (corrupted DefinedNames, complex VBA), use stdlib directly.

XLSX Internal ZIP Structure

file.xlsx (ZIP archive)
├── [Content_Types].xml
├── xl/
│   ├── workbook.xml          ← Sheet names + order
│   ├── sharedStrings.xml     ← All text values (lookup table)
│   ├── worksheets/
│   │   ├── sheet1.xml        ← Cell data for sheet 1
│   │   ├── sheet2.xml        ← Cell data for sheet 2
│   │   └── ...
│   └── _rels/
│       └── workbook.xml.rels ← Maps rId → sheetN.xml
└── _rels/.rels

Sheet Name Resolution (Two-Step)

Sheet names in workbook.xml link to physical files via _rels/workbook.xml.rels:

import zipfile
import xml.etree.ElementTree as ET

MAIN_NS = 'http://schemas.openxmlformats.org/spreadsheetml/2006/main'
REL_NS = 'http://schemas.openxmlformats.org/officeDocument/2006/relationships'
RELS_NS = 'http://schemas.openxmlformats.org/package/2006/relationships'

def get_sheet_path(zf, sheet_name):
    """Resolve sheet name to physical XML file path inside ZIP."""
    # Step 1: workbook.xml → find rId for the sheet name
    wb_xml = ET.fromstring(zf.read('xl/workbook.xml'))
    sheets = wb_xml.findall(f'.//{{{MAIN_NS}}}sheet')
    rid = None
    for s in sheets:
        if s.get('name') == sheet_name:
            rid = s.get(f'{{{REL_NS}}}id')
            break
    if not rid:
        raise ValueError(f"Sheet '{sheet_name}' not found")

    # Step 2: workbook.xml.rels → map rId to file path
    rels_xml = ET.fromstring(zf.read('xl/_rels/workbook.xml.rels'))
    for rel in rels_xml.findall(f'{{{RELS_NS}}}Relationship'):
        if rel.get('Id') == rid:
            return 'xl/' + rel.get('Target')

    raise ValueError(f"No file mapping for {rid}")

Cell Data Extraction

def extract_cells(zf, sheet_path):
    """Extract all cell values from a sheet XML."""
    # Build shared strings lookup
    shared = []
    try:
        ss_xml = ET.fromstring(zf.read('xl/sharedStrings.xml'))
        for si in ss_xml.findall(f'{{{MAIN_NS}}}si'):
            texts = si.itertext()
            shared.append(''.join(texts))
    except KeyError:
        pass  # No shared strings

    # Parse sheet cells
    sheet_xml = ET.fromstring(zf.read(sheet_path))
    rows = sheet_xml.findall(f'.//{{{MAIN_NS}}}row')

    data = {}
    for row in rows:
        for cell in row.findall(f'{{{MAIN_NS}}}c'):
            ref = cell.get('r')         # e.g., "A1"
            cell_type = cell.get('t')   # "s" = shared string, None = number
            val_el = cell.find(f'{{{MAIN_NS}}}v')

            if val_el is not None and val_el.text:
                if cell_type == 's':
                    data[ref] = shared[int(val_el.text)]
                else:
                    try:
                        data[ref] = float(val_el.text)
                    except ValueError:
                        data[ref] = val_el.text
    return data

Fixing Corrupted DefinedNames

Investment bank xlsm files often have corrupted <definedName> entries containing "Formula removed":

def fix_defined_names(zf_in_path, zf_out_path):
    """Remove corrupted DefinedNames and repackage."""
    import shutil, tempfile
    with tempfile.TemporaryDirectory() as tmp:
        tmp = Path(tmp)
        with zipfile.ZipFile(zf_in_path, 'r') as zf:
            zf.extractall(tmp)

        wb_xml_path = tmp / 'xl' / 'workbook.xml'
        tree = ET.parse(wb_xml_path)
        root = tree.getroot()

        ns = {'main': MAIN_NS}
        defined_names = root.find('.//main:definedNames', ns)
        if defined_names is not None:
            for name in list(defined_names):
                if name.text and "Formula removed" in name.text:
                    defined_names.remove(name)

        tree.write(wb_xml_path, encoding='utf-8', xml_declaration=True)

        with zipfile.ZipFile(zf_out_path, 'w', zipfile.ZIP_DEFLATED) as zf:
            for fp in tmp.rglob('*'):
                if fp.is_file():
                    zf.write(fp, fp.relative_to(tmp))

Full template script: See scripts/parse_complex_excel.py

Controlling Excel on macOS (AppleScript)

All commands verified on macOS with Microsoft Excel.

Verified Commands

# Activate Excel (bring to front)
osascript -e 'tell application "Microsoft Excel" to activate'

# Open a file
osascript -e 'tell application "Microsoft Excel" to open POSIX file "/path/to/file.xlsx"'

# Set zoom level (percentage)
osascript -e 'tell application "Microsoft Excel"
    set zoom of active window to 120
end tell'

# Scroll to specific row
osascript -e 'tell application "Microsoft Excel"
    set scroll row of active window to 45
end tell'

# Scroll to specific column
osascript -e 'tell application "Microsoft Excel"
    set scroll column of active window to 3
end tell'

# Select a cell range
osascript -e 'tell application "Microsoft Excel"
    select range "A1" of active sheet
end tell'

# Select a specific sheet by name
osascript -e 'tell application "Microsoft Excel"
    activate object sheet "DCF" of active workbook
end tell'

Timing and Timeout

Always add sleep 1 between AppleScript commands and subsequent operations (e.g., screenshot) to allow UI rendering.

IMPORTANT: osascript will hang indefinitely if Excel is not running or not responding. Always wrap with timeout:

# Safe pattern: 5-second timeout
timeout 5 osascript -e 'tell application "Microsoft Excel" to activate'

# Check exit code: 124 = timed out
if [ $? -eq 124 ]; then
    echo "Excel not responding — is it running?"
fi

Common Mistakes

MistakeCorrection
openpyxl fails on complex xlsm → try monkey-patchingSwitch to zipfile + xml.etree immediately
Count Chinese characters with wc -cUse wc -m (chars, not bytes; Chinese = 3 bytes/char)
Trust file extensionRun file <path> first to confirm actual format
openpyxl load_workbook hangs on large xlsmUse zipfile for targeted extraction instead of loading entire workbook

Important Notes

  • Execute Python scripts with uv run --with openpyxl (never use system Python)
  • LibreOffice (soffice --headless) can convert formats and recalculate formulas
  • Detailed formatting reference: See references/formatting-reference.md

平台分布

Codex

38.98%
按下载量换算596

Claude

30.3%
按下载量换算463

Cursor

17.03%
按下载量换算260

Gemini CLI

8.68%
按下载量换算133

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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