agentCLAWHUBUnverified

Chart Generator

Data visualization chart generator. Use when user needs to create charts from data for reports, presentations, or documents. Supports bar, line, pie, scatter... Skill: Chart Generator Owner: tobewin Summary: Data visualization chart generator. Use when user needs to create charts from data for reports, presentations, or documents. Supports bar, line, pie, scatter... Tags: latest:1.0.2 Version history: v1.0.2 | 2026-03-24T14:02:34.365Z | user 修复依赖声明:添加python-docx和pillow依赖 v1.0.1 | 2026-03-24T13:53:59.912Z | user 专业数据可视化图表生成器:支持多种图表类型、数据来源、输出格式,可嵌入Word/PDF/HTML Archive index:

OpenClaw

Rank

62

Safety

84

Downloads

1.7k

Updated

Oct 10, 2026

Version

1.0.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.7K downloads reported by the source. Last updated 10/10/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 10, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 10, 2026
Adoption signal
1.7K downloadsadoption · observed Oct 10, 2026
Latest release
1.0.2release · observed Mar 24, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s174rz3f0862tcfw7pzfh5w8kn83hv2z:chart-maker
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-tobewin-chart-maker/snapshot"

Documentation

CLAWHUB

35,596 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: chart-generator
description: Data visualization chart generator. Use when user needs to create charts from data for reports, presentations, or documents. Supports bar, line, pie, scatter, radar charts with PNG/SVG output. 数据可视化、图表生成、数据报告。
version: 1.0.2
license: MIT-0
metadata: {"openclaw": {"emoji": "📊", "requires": {"bins": ["python3"]}}}
dependencies: "pip install matplotlib pandas openpyxl python-docx pillow"
---

# Chart Generator

Professional data visualization chart generator for reports, presentations, and documents.

## Features

- 📊 **Multiple Chart Types**: Bar, line, pie, scatter, radar, area, stacked
- 📁 **Multiple Data Sources**: CSV, Excel, JSON, manual, web, document extraction
- 🎨 **Professional Styling**: Clean, publication-ready charts with custom options
- 📐 **Flexible Output**: PNG, SVG, PDF, Word, Excel, Markdown, HTML
- 🔗 **Embed Support**: Direct embedding into documents
- 🌍 **Multi-Language**: Chinese, English, Japanese, Korean (no encoding issues)
- ✅ **Cross-Platform**: Windows, macOS, Linux

## Supported Chart Types

| Type | Use Case | Best For |
|------|----------|----------|
| **Bar Chart** | Compare values | Sales, rankings |
| **Line Chart** | Show trends | Time series, growth |
| **Pie Chart** | Show proportions | Market share, composition |
| **Scatter Plot** | Show correlation | Data relationships |
| **Radar Chart** | Multi-dimension | Performance comparison |
| **Area Chart** | Cumulative values | Stacked data |
| **Stacked Bar** | Composition | Multi-category breakdown |

## Trigger Conditions

- "帮我画图" / "Create a chart"
- "生成柱状图" / "Generate bar chart"
- "数据可视化" / "Data visualization"
- "做一个趋势图" / "Make a trend chart"
- "图表分析" / "Chart analysis"
- "chart-generator"

---

## Step 1: Understand Requirements

```
请提供以下信息:

图表类型:(柱状图/折线图/饼图/散点图/雷达图)
数据来源:(手动输入/CSV/Excel/JSON)
数据内容:
标题:
X轴标签:
Y轴标签:
输出格式:(PNG/SVG)
颜色要求:(默认/自定义)
```

---

## Step 2: Generate Chart

### Python Script Template

```python
python3 << 'PYEOF'
import os
import matplotlib.pyplot as plt
import matplotlib
import pandas as pd
import numpy as np
from matplotlib import font_manager

# 设置中文字体
plt.rcParams['font.sans-serif'] = ['Noto Sans SC', 'SimHei', 'DejaVu Sans']
plt.rcParams['axes.unicode_minus'] = False

class ChartGenerator:
    def __init__(self):
        self.fig = None
        self.ax = None
        
    def create_bar_chart(self, labels, values, title='', 
                         xlabel='', ylabel='', 
                         color='#3182ce', output_path=None):
        """Create bar chart"""
        self.fig, self.ax = plt.subplots(figsize=(10, 6))
        
        bars = self.ax.bar(labels, values, color=color, edgecolor='white', linewidth=0.5)
        
        # Add value labels on bars
        for bar in bars:
            height = bar.get_height()
            self.ax.text(bar.get_x() + bar.get_width()/2., height,
                        f'{height:,.0f}',
                        ha='center', va='bottom', fonts

_meta.json

{
  "ownerId": "kn75z6gevjsyrznm7dg2ez6sen82h8sz",
  "slug": "chart-maker",
  "version": "1.0.2",
  "publishedAt": 1774360954365
}

skill-card.md

## Description:

Data visualization chart generator for creating bar, line, pie, scatter, and radar charts from data for reports, presentations, and documents, with PNG and SVG output.

This skill is ready for commercial/non-commercial use.

## Publisher:

[tobewin](https://clawhub.ai/user/tobewin)

### License/Terms of Use:

MIT-0

## Use Case:

Developers, analysts, and document authors use this skill to turn CSV, Excel, JSON, manual, or extracted data into report-ready charts and embeddable chart outputs.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill declares unpinned Python package installation.

Mitigation: Install it only in an isolated environment where accepting current package versions is appropriate.

Risk: Generated HTML or Markdown can include user-provided chart titles, captions, or width values.

Mitigation: Escape or validate these values before treating generated HTML or Markdown as trusted output.

Risk: The documentation overstates language support and mentions web data while the security summary characterizes the skill as local-only.

Mitigation: Confirm input source, language, and output requirements before relying on generated charts in production materials.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/tobewin/skills/chart-maker)

## Skill Output:

**Output Type(s):** [text, markdown, code, shell commands, files, configuration, guidance]

**Output Format:** [Markdown guidance with Python and shell code blocks; generated chart files such as PNG, SVG, PDF, DOCX, XLSX, HTML, and Markdown when executed.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires python3 and Python packages including matplotlib, pandas, openpyxl, python-docx, and pillow; chart generation and file processing are described as local-only.]

## Skill Version(s):

1.0.2 (source: frontmatter and server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data

The same record, as JSON, for agents and crawlers.

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  "events": [
    {
      "eventType": "release",
      "title": "Release 1.0.2",
      "description": "修复依赖声明:添加python-docx和pillow依赖",
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    }
  ]
}

Record generated Oct 10, 2026.

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