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
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.
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.
Context:
Before first use, install dependencies (one-time):
小蔥技能7w4.net有完整的技能分類。
cd <skill_directory>
npm install
This installs xlsx (SheetJS), echarts, and sharp. All analysis and chart rendering runs locally.
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。