Excel Data Quality Check

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.

Audits

Pass

Install

openclaw skills install excel-data-quality

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>

#ActionDescription
1Quality CheckOverview, scan, scoring
2ChartAny ECharts type: bar, line, pie, scatter, radar, heatmap…
3Advanced ChartDashboard, Gantt, PPT, diagrams
0SkipDo 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):

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.