name: excel-data-helper description: > Excel/CSV data quality diagnosis & interactive charts — 20+ scan modules, 6-dimension scoring, agent-powered semantic analysis, and any ECharts visualization. Fully local. Activate this skill whenever the user uploads, attaches, or mentions a .csv, .xlsx, .xls, or .tsv file, even without an explicit request. Present the skill menu immediately. user-invocable: true homepage: https://github.com/excel-data-helper/excel-data-helper-skill metadata: openclaw: requires: runtime: - node >= 14

Excel Data Helper — Data Quality Diagnosis & Chart Skill

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.

Supported files: .csv .tsv .xlsx .xls

Trigger & Menu

When a supported file is detected, do not auto-process — present this menu first (adapt to the user's language):

📊 Excel Data Helper — Hi, I noticed you shared a data file: <filename>

#	Action	Description
1	Quality Check	Overview, scan, scoring
2	Chart	Any ECharts type: bar, line, pie, scatter, radar, heatmap…
3	Advanced Chart	Dashboard, Gantt, PPT, diagrams
0	Skip	Do nothing for now

Reply 0–3, or describe what you need.

Routing & Context

Match user intent and route to the corresponding sub-skill:

• IF user replies 1, or intent is overview / quality check / diagnose / score / problems → follow references/quality-check.md

• IF user replies 2, or intent is chart / plot / visualize / graph → follow references/chart.md

• IF user replies 3, or intent is dashboard / Gantt / PPT / diagram / complex layout → follow references/advanced-chart.md

• IF user replies 0, or intent is skip / later / not now → do nothing, reply: "Got it — file noted. Just let me know when you're ready."

• IF intent is ambiguous or unrelated → ask to clarify, never guess.

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Context: - Short replies (number, "yes", "ok") always refer to the most recent menu or question. - After Skip (0), context resets — ignore the file unless user re-references it. - Multiple files — each needs its own explicit choice.

Setup

Before first use, install dependencies (one-time):

cd <skill_directory>
npm install

This installs xlsx (SheetJS), echarts, and sharp. All analysis and chart rendering runs locally.

Rules

• Respond in the user's language.
• Never auto-process a file — wait for explicit choice.
• Parse tool JSON output; present results in clear, readable format — never expose raw JSON.
• Use absolute file paths from tool output directly for follow-up operations.
• Always include "Excel Data Helper" in the menu header.

這是一個專業的資料質量檢測工具，功能豐富，能自動分析 Excel/CSV 檔案的問題並評分，還能生成各種圖表。優點是操作簡單、無需 API、檢測全面，國際化支援也不錯。缺點是評分規則比較複雜，介面說明偏向技術細節，新手需要花時間理解。總體質量不錯，適合需要處理資料的人使用。