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Data To Word Report

读取用户上传的 CSV/JSON/Excel/TXT 数据文件,自动识别格式后完成数据概览、关键指标统计、趋势分析与关键发现,再调用 Python 脚本生成格式化的 Word 分析报告(.docx),并向用户说明保存位置与报告结构。

openlark
openlark
热度 23.18
最近更新 2026-06-06 10:55:51
分类:数据依赖:代码执行 / 读写文件应用场景:报告撰写 / 数据处理 / 文件转换

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add data-to-word-report
Metadata
name
data-to-word-report
description
Automatically generate a professional Word analysis report from user-provided data files, including data overview, key metric statistics and trend analysis, key findings and conclusions.

Data to Word Analysis Report

Automatically generate a professionally formatted analysis report (.docx) from data files, ready for presentation.

Use Cases

Use when users need to "generate analysis report", "convert data to Word", or "produce a report".

Workflow

1. Read Data

Read the user-uploaded data file, automatically detect the format (CSV/JSON/Excel/TXT), extract the data, and confirm the structure.

2. Analyze Data

Perform the following analysis on the data:

  • Data Overview: Row count, column count, field types, missing value statistics, time range
  • Key Metrics: Mean/median/max/min/standard deviation for key numeric columns
  • Trend Analysis: If a time column exists, calculate trends by time dimension
  • Key Findings: Outliers, significant changes, critical conclusions

3. Generate Report

Call the script to generate the Word report:

python3 scripts/gen_report.py '<output_path>' '<report_json>'
  • output_path: Output path, e.g., /root/.openclaw/workspace/analysis_report.docx
  • report_json: JSON string, see structure below

report_json Structure

{
  "title": "Data Analysis Report",
  "sections": [
    {
      "heading": "I. Data Overview",
      "paragraphs": ["This analysis covers 1,234 records...", "Time range: 2024-01 to 2024-12"],
      "table": {
        "headers": ["Metric", "Value"],
        "rows": [["Total Records", "1,234"], ["Fields", "8"], ["Missing Rate", "2.1%"]]
      }
    },
    {
      "heading": "II. Key Metrics",
      "paragraphs": ["Average sales: 456K, median: 382K..."],
      "table": {
        "headers": ["Metric", "Mean", "Median", "Max", "Min"],
        "rows": [["Sales (10K)", "45.6", "38.2", "120.5", "5.3"]]
      }
    },
    {
      "heading": "III. Trend Analysis",
      "paragraphs": ["Overall upward trend, Q4 grew 23% QoQ..."],
      "table": null
    },
    {
      "heading": "IV. Key Findings & Recommendations",
      "paragraphs": ["1. East China region accounts for the highest share (38%)...", "2. December return rate abnormally rose to 5.7%..."],
      "table": null
    }
  ]
}

The table field in each section is optional; pass null to output only paragraphs.

4. Output Results

Inform the user of the file save location and display an overview of the report structure.