excel-data-helper

تایید شده

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.

@openclaw
MIT۱۴۰۵/۱/۱۵
83از ۱۰۰
(0)
۴.۱k
۴۵
۵۴

نصب مهارت

مهارت‌ها کدهای شخص ثالث از مخازن عمومی GitHub هستند. SkillHub الگوهای مخرب شناخته‌شده را اسکن می‌کند اما نمی‌تواند امنیت را تضمین کند. قبل از نصب، کد منبع را بررسی کنید.

نصب سراسری (سطح کاربر):

npx skillhub install openclaw/skills/excel-data-helper

نصب در پروژه فعلی:

npx skillhub install openclaw/skills/excel-data-helper --project

مسیر پیشنهادی: ~/.claude/skills/excel-data-helper/

بررسی هوش مصنوعی

کیفیت دستورالعمل82
دقت توضیحات82
کاربردی بودن86
صحت فنی80

Exceptional execution with 15 files and a functional Node.js toolchain. Scanner alone is 52KB with 20+ scan modules. Auto-trigger on file attachment is a strong UX pattern. Scored 83 — the highest in this batch, justified by the comprehensive, working toolchain with international locale support.

محتوای SKILL.md

---
name: excel-data-helper
description: >
  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.
user-invocable: true
homepage: https://github.com/excel-data-helper/excel-data-helper-skill
metadata:
  openclaw:
    requires:
      runtime:
        - node >= 14
---

# 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):

```bash
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.