Excel Data Quality Check
/install excel-data-quality
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Excel Data Helper — Data Quality Diagnosis & Chart Skill\r
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Local Excel/CSV data profiling, quality scanning (20+ modules, 6-dimension scoring, LLM semantic analysis), and chart generation. International locale support: CJK, European, Middle Eastern, Americas.\r
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Supported files: .csv .tsv .xlsx .xls\r
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Trigger & Menu\r
\r When a supported file is detected, do not auto-process — present this menu first (adapt to the user's language):\r \r
📊 Excel Data Helper — Hi, I noticed you shared a data file:
\x3Cfilename>\r \r | # | Action | Description |\r |:---:|--------|-------------|\r | 1 | Quality Check | Overview, scan, scoring |\r | 2 | Chart | Any ECharts type: bar, line, pie, scatter, radar, heatmap… |\r | 3 | Advanced Chart | Dashboard, Gantt, PPT, diagrams |\r | 0 | Skip | Do nothing for now |\r \r Reply 0–3, or describe what you need.\r \r ---\r \r
Routing & Context\r
\r Match user intent and route to the corresponding sub-skill:\r \r
- IF user replies
1, or intent is overview / quality check / diagnose / score / problems\r → followreferences/quality-check.md\r \r - IF user replies
2, or intent is chart / plot / visualize / graph\r → followreferences/chart.md\r \r - IF user replies
3, or intent is dashboard / Gantt / PPT / diagram / complex layout\r → followreferences/advanced-chart.md\r \r - IF user replies
0, or intent is skip / later / not now\r → do nothing, reply: "Got it — file noted. Just let me know when you're ready."\r \r - IF intent is ambiguous or unrelated → ask to clarify, never guess.\r \r Context:\r
- Short replies (number, "yes", "ok") always refer to the most recent menu or question.\r
- After Skip (0), context resets — ignore the file unless user re-references it.\r
- Multiple files — each needs its own explicit choice.\r \r ---\r \r
Setup\r
\r Before first use, install dependencies (one-time):\r \r
cd \x3Cskill_directory>\r
npm install\r
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This installs `xlsx` (SheetJS), `echarts`, and `sharp`. All analysis and chart rendering runs locally.\r
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## Rules\r
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- Respond in the user's language.\r
- Never auto-process a file — wait for explicit choice.\r
- Parse tool JSON output; present results in clear, readable format — never expose raw JSON.\r
- Use absolute file paths from tool output directly for follow-up operations.\r
- Always include "Excel Data Helper" in the menu header.\r
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install excel-data-quality - 安装完成后,直接呼叫该 Skill 的名称或使用
/excel-data-quality触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Excel Data Quality Check 是什么?
Excel/CSV data quality diagnosis & interactive charts — 20+ scan modules, 6-dimension scoring, agent-powered semantic analysis, and any ECharts visualization... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 232 次。
如何安装 Excel Data Quality Check?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install excel-data-quality」即可一键安装,无需额外配置。
Excel Data Quality Check 是免费的吗?
是的,Excel Data Quality Check 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Excel Data Quality Check 支持哪些平台?
Excel Data Quality Check 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Excel Data Quality Check?
由 ChartGen AI(@chartgen-ai)开发并维护,当前版本 v1.0.0。