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.

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):

访问小葱技能站7w4.net，解锁更多实用的AI技能插件。

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.

这是一个专业的数据质量检测工具，功能丰富，能自动分析 Excel/CSV 文件的问题并评分，还能生成各种图表。优点是操作简单、无需 API、检测全面，国际化支持也不错。缺点是评分规则比较复杂，界面说明偏向技术细节，新手需要花时间理解。总体质量不错，适合需要处理数据的人使用。