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analysis-data分析数据

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

11,187

周安装

457

GitHub Stars

公开资料未说明

下载量

3,583
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:analysis-data(分析数据)
来源仓库:https://github.com/chartgen-ai/analysis-data
安装命令:
openclaw skills install analysis-data
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install analysis-data

简介

analysis-data 由 Chartgen AI 开发,提供数据统计、过滤与可视化能力。

  • 适用于数据整理、异常检测和结构化报告生成等场景。
  • 通过 clawhub 安装后,可协助 Agent 完成字段清洗与口径统一工作。
  • 涉及文件导出或批量更新时,务必检查权限设置与数据安全策略。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
chartgen
description
|
metadata
openclaw
requires
env

ChartGen AI Chart Generator

AI-powered chart generator that creates professional visualizations through natural language. Built on ChartGen AI engine.

Overview

Transform your data into stunning, interactive charts with simple natural language commands. No coding required - just describe the chart you want, and ChartGen AI generates it instantly.

This skill supports Text-to-Chart, Text-to-SQL, and Text-to-Data analysis. Simply provide Excel/CSV files or JSON data, describe your visualization needs in plain language, and get interactive ECharts visualizations, structured analysis reports, and AI-driven insights.

Powered by ChartGen AI engine, supporting multiple chart types including bar, line, pie, scatter, area, and more. Optimized for business analytics and data storytelling.

API Service: This skill uses the ChartGen API service hosted at chartgen.ai. All data is sent to https://chartgen.ai/api/platform_api/ for processing.


Quick Start

1. Apply for an API Key

You can easily create and manage your API Key at chartgen.ai. To begin with, you need to register for an account.

Steps:

  1. Visit chartgen.ai and sign up for an account
  2. Access the API management dashboard
  3. Create a new API and set the credit consumption limit
  4. Copy the API Key for use

2. Configure Environment Variable

export CHARTGEN_API_KEY="your-api-key-here"

3. Run Scripts

# Generate Chart (Text-to-Chart)
python scripts/data_visualization.py --query "Draw a bar chart of sales by region" --file sales.xlsx

# Data Analysis
python scripts/data_analysis.py --query "Calculate total sales by region" --file sales.xlsx

# Data Interpretation
python scripts/data_interpretation.py --query "Analyze sales trends" --file sales.xlsx

Credit Rules

  • Calling a single tool consumes 20 credits
  • You get 200 free credits per month for free accounts
  • When credits run out, you can purchase more or upgrade your account on the chartgen.ai Billing page

Scripts Reference

ScriptFunctionUse Case
data_visualization.pyChart GenerationText-to-Chart, create bar/line/pie/scatter charts
data_analysis.pyData AnalysisStatistics, filtering, aggregation, calculation
data_interpretation.pyInsight GenerationTrend analysis, pattern discovery, report generation

Parameters

Common Parameters

ParameterRequiredDescription
--queryYesNatural language query statement
--fileNoLocal file path (.xlsx/.xls/.csv), mutually exclusive with --json
--jsonNoJSON data (string or file path), mutually exclusive with --file

Visualization Specific Parameters

ParameterDescription
--output, -oOutput HTML file path (defaults to /tmp/openclaw/charts/)

Data Format

File Format

Supports .xlsx, .xls, .csv Excel and CSV files.

Note: Only one of --file or --json is needed. If both are provided, --file takes precedence. File types support both row-metric-column data files and column-metric-row data files.

JSON Format

JSON data should be an array format, where each element is a row of data:

[
  {"name": "Product A", "sales": 1000, "region": "East"},
  {"name": "Product B", "sales": 1500, "region": "North"},
  {"name": "Product C", "sales": 800, "region": "South"}
]

Or pass via file:

python scripts/data_visualization.py --query "Draw a chart" --json data.json

Usage Examples

Chart Generation (Text-to-Chart)

# Bar chart
python scripts/data_visualization.py --query "Draw a bar chart of sales by product" --file sales.xlsx

# Line chart
python scripts/data_visualization.py --query "Draw a line chart of sales trends" --file trends.xlsx

# Pie chart
python scripts/data_visualization.py --query "Draw a pie chart of sales by region" --file sales.xlsx

# Scatter plot
python scripts/data_visualization.py --query "Draw a scatter plot of price vs quantity" --file data.xlsx

# Save to specific path
python scripts/data_visualization.py --query "Draw a bar chart" --file data.xlsx -o /path/to/chart.html

Data Analysis

# Statistical calculation
python scripts/data_analysis.py --query "Calculate total and average sales by region" --file sales.xlsx

# Data filtering
python scripts/data_analysis.py --query "Filter products with sales greater than 1000" --file sales.xlsx

# Sorting
python scripts/data_analysis.py --query "Sort by sales in descending order" --file sales.xlsx

Insight Generation

# Trend analysis
python scripts/data_interpretation.py --query "Analyze monthly sales trends" --file monthly_sales.xlsx

# Anomaly detection
python scripts/data_interpretation.py --query "Find and explain anomalies in the data" --file data.xlsx

# Comprehensive interpretation
python scripts/data_interpretation.py --query "Provide a comprehensive analysis with key insights" --file report.xlsx

Supported Chart Types

  • Bar Chart / Stacked Bar Chart
  • Line Chart / Area Chart
  • Pie Chart / Donut Chart
  • Scatter Plot
  • And more...

Output Description

Chart Generation

  1. Console Output: ECharts configuration JSON
  2. HTML File: Interactive chart that can be opened in any browser

Data Analysis & Insight Generation

Returns Markdown format text results, including analysis conclusions, data tables, and insights.


Error Handling

Common errors and solutions:

Error MessageCauseSolution
CHARTGEN_API_KEY not setEnvironment variable not setexport CHARTGEN_API_KEY="your-key"
API request timeoutRequest timeoutCheck network connection and retry
File not foundFile does not existCheck if file path is correct
credits are insufficientInsufficient creditsRecharge or contact administrator

Technical Details

  • API Base URL: https://chartgen.ai/api/platform_api/
  • Authentication: Header Authorization: <api-key>
  • Request Format: JSON
  • Timeout: 60 seconds
  • Required Environment Variable: CHARTGEN_API_KEY

See scripts/chartgen_api.py for implementation details.


Privacy Notice

Data sent to remote API: This skill reads your provided data files (CSV/XLSX/JSON), base64-encodes them, and sends them to the ChartGen API at https://chartgen.ai/api/platform_api/ for analysis and chart generation. Your data will leave your machine.

Recommendations:

  • Do not upload sensitive or regulated data
  • Use a dedicated API key with limited scope/credits
  • Review the privacy practices at chartgen.ai before use

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

79.38%
按下载量换算2,844

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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