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:
>
> | # | 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:
1, or intent is overview / quality check / diagnose / score / problems
→ follow references/quality-check.md
2, or intent is chart / plot / visualize / graph
→ follow references/chart.md
3, or intent is dashboard / Gantt / PPT / diagram / complex layout
→ follow references/advanced-chart.md
0, or intent is skip / later / not now
→ do nothing, reply: "Got it — file noted. Just let me know when you're ready."
Context:
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.
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