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>#ActionDescription1Quality CheckOverview, scan, scoring2ChartAny ECharts type: bar, line, pie, scatter, radar, heatmap…3Advanced ChartDashboard, Gantt, PPT, diagrams0SkipDo 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):
bash
cd <skill_directory>
npm install
This installs xlsx (SheetJS), echarts, and sharp. All analysis and chart rendering runs locally.