按 U-Claw-海外化改造方案.md 与 范围决策记录.md 实施。这是 fork，不回上游： 海外版删掉的正是上游的中国市场默认值。 阶段 0 地基 - 下载源全部改国际：脚本/CI 61 处 + lockfile 880 条 npmmirror URL 归零 （lockfile 那 880 条是 npm 的 resolved 字段，脚本层参数化根本绕不过它） - 移除 install.ps1 里三个第三方 GitHub 加速代理，bundle 改直连 + SHA256 校验 （原来只检查"文件大于 1MB"就解压运行） - 技能内容与分发分离：skills/manifest.json 单一来源，install.sh 1170→658 行、 install.ps1 721→546 行，两者技能内容归零 实测原来是三份不一致：skills-cn 完整、install.sh 约 40%、install.ps1 约 17%， 且 7 个通用技能只有 U 盘版有 —— 一键安装的用户一个能用的技能都没有 - Node 版本三种（v22.14/16/22.1）统一，新建 NODE_VERSION 单一来源 - Config 页三份合一。portable/Config.html 用根相对路径调 API 却只从 file:// 打开， 保存功能已静默失效两个月；现缩为 120 行重定向壳 - 测试接入 CI（此前 node --test 无人运行，所有断言形同虚设） 阶段 1 双语可用 - 浏览器侧 i18n：JSON 为源、生成经典 script（file:// 下 fetch 本地 JSON 被拦） 语言跟盘走不跟机器走：启动器写 data/.openclaw/locale.js - 8 处硬编码 lang="zh-CN" 归零，data-i18n 覆盖 213 处，词条 en/zh 各 279 条 - B3 单框 Key：12 张模型卡 → 一个输入框，前缀识别 provider， 服务端 /api/test-key 发 1-token 请求实测，错误映射成人话 Key 填错到得知：从"直到对话失败"降到 ≤1 秒 - 区域格式 SG：DD/MM/YYYY、12 小时、S$、Asia/Singapore （ICU 在 en-SG 下把 SGD 渲染成裸 $，与美元无法区分，故自行拼 S$） - README 内容分叉而非翻译，§1.3 证据清单逐条清零 阶段 2 降门槛 - 启动逻辑上移 lib/start.mjs：Windows-Start.bat 220→28 行、 Mac-Start.command 235→33 行 修掉 Mac 侧两个 bug：控制台端口硬编码 18788（回落时打开死页）、 微信插件从未在 Mac 上安装 - U 盘根目录 23 → 3 个可点文件，其余进 advanced/ - 首启向导：语言 → 用途（7 角色，manifest 驱动）→ 密钥，答过不再问 - 三档界面，Simple 档隐藏一切技术名词 - 自动自愈：启动失败先自查自修，修不好导出脱敏诊断包 （Doctor 从"用户要知道去点的工具"变成后台机制） 阶段 3 技能库 - 19 个英文技能，planned 归零。sg-weather / sg-transport 的端点均实测过 - SkillHub 从 56 张手写第三方卡片改为 manifest 生成：703→125 行，中文归零 其他 - origin.json 收拢所有运行时地址，tests/origin.test.mjs 保证迁移不会漏 - portable/ 下用户可见中文归零（由断言保证） - 82 项测试 未验证（本机无 Windows / 无 pwsh）： - install.ps1、setup.ps1 约 210 行改动从未经 PowerShell 解析器 - 完整启动路径仅在假 node + 假 openclaw 上冒烟 - 8 个 .bat 的盘根推导仅静态断言 详见 U盘实测清单.md 受阻： - 隐藏黑窗口 —— 需代码签名证书（.vbs 已被 Windows 弃用，替代方案都要签名） - 场景卡 —— OpenClaw 上游 Dashboard 无预填 prompt 接口 - 官网 36 条 —— 上游 2026-04-14 拆到私有仓库，无权限
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skills/en/excel-helper/SKILL.md
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---
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name: excel-helper
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description: "Spreadsheet helper - formulas, pivot tables, charts, data cleaning, macros"
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metadata: { "openclaw": { "emoji": "📊" } }
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---
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# Spreadsheet Helper
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Data processing and analysis for Excel, Google Sheets and Numbers.
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## What it does
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- **Formulas**: lookups, conditional sums, aggregation, statistics
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- **Pivot tables**: fast summaries, cross-tabs, grouping
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- **Charts**: column, line, pie, combo — and which one to pick
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- **Data cleaning**: dedupe, fill gaps, normalise formats
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- **Macros**: recording and writing VBA
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## Formula patterns
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### Aggregation
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```excel
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=SUMIFS(B:B, A:A, ">="&DATE(2026,1,1)) -- conditional sum
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=COUNTIF(B:B, ">100") -- conditional count
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=AVERAGEIF(C:C, "Singapore", D:D) -- conditional average
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```
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### Lookups
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```excel
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=VLOOKUP(E2, Source!A:C, 3, FALSE) -- vertical lookup
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=INDEX(B:B, MATCH(D2, A:A, 0)) -- reverse lookup
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=XLOOKUP(key, lookup_range, return_range) -- modern lookup, prefer this
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```
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### Dates
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```excel
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=TEXT(A2, "DD/MM/YYYY") -- SG date format
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=EDATE(B2, 3) -- add/subtract months
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=WEEKDAY(C2, 2) -- day of week, Mon = 1
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```
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## Picking a chart
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| What you're showing | Chart |
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|---|---|
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| Change over time | Line |
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| Comparing sizes | Column |
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| Parts of a whole | Pie (only if ≤ 5 slices) |
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| Relationship between two variables | Scatter |
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| Several metrics at once | Radar |
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## Pivot table basics
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1. Drag fields into Rows / Columns / Values / Filters
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2. Value summary: sum, count, average
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3. Value display: % of total, running total
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4. Slicers for interactive filtering
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## Example prompts
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```
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Write me a formula that totals monthly sales broken down by region
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```
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```
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This customer list has lots of duplicates — give me cleaning steps
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```
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```
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Turn this data into a chart showing the quarter-on-quarter trend
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```
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## A macro to start from
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```vba
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Sub HighlightLargeValues()
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For Each cell In Selection
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If cell.Value > 100 Then
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cell.Interior.Color = RGB(255, 0, 0)
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End If
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Next
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End Sub
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```
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## Good for
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- Summary reports
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- Reconciliation
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- Sales analysis
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- Inventory tracking
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- Survey results
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## Not for
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- Long-form documents (use word-writer)
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- Slide decks (use ppt-designer)
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## Accuracy
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When numbers matter: show the working, state where each figure came from, and say
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so plainly when a result is uncertain rather than guessing.
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