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Data Visualization Pro (Automaton)
by
chenghaifeng08-creator
· GitHub ↗
· v1.0.0
· MIT-0
533
Downloads
1
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1
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1
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Install in OpenClaw
/install data-visualization-pro-automaton
Description
AI-powered data visualization tool with 6 chart types (bar, line, pie, scatter, heatmap, radar), CSV/JSON import, AI-driven chart recommendations, interactiv...
README (SKILL.md)
Data Visualization Pro
AI-powered data visualization with smart chart recommendations.
Features
- 6 Chart Types: Bar, Line, Pie, Scatter, Heatmap, Radar
- AI Chart Recommendations: Analyzes your data and suggests the best chart type
- CSV/JSON Import: Drop in your data file and visualize instantly
- Interactive Dashboards: Combine multiple charts into a single view
- Export: PNG, SVG, PDF — publication-ready output
- Responsive: Works on desktop and mobile
Quick Start
1. Visualize a CSV file
Visualize this data: [paste CSV or provide file path]
The agent will:
- Parse the data (CSV, JSON, or raw text)
- Analyze column types (numeric, categorical, temporal)
- Recommend the best chart type
- Generate an interactive visualization
2. Create a specific chart
Create a bar chart comparing Q1-Q4 revenue for 2024 and 2025
3. Build a dashboard
Build a dashboard from sales-data.csv with:
- Revenue trend (line chart)
- Regional breakdown (pie chart)
- Product comparison (bar chart)
Chart Selection Guide
| Data Pattern | Recommended Chart | When to Use |
|---|---|---|
| Trends over time | Line | Time-series, stock prices, growth |
| Category comparison | Bar | Revenue by region, product sales |
| Part-of-whole | Pie | Market share, budget allocation |
| Correlation | Scatter | Height vs weight, price vs demand |
| Multi-variable | Radar | Product comparison, skill assessment |
| Density/matrix | Heatmap | Correlation matrix, geographic data |
AI Recommendation Engine
The AI analyzes your data to recommend the optimal visualization:
- Column type detection: Numeric, categorical, temporal, boolean
- Relationship analysis: Correlation strength, distribution shape
- Data volume assessment: Row count determines complexity level
- Pattern recognition: Trends, clusters, outliers, proportions
Sample Datasets Included
sample-data.csv— Mixed business metricssample-categories.csv— Category comparison datasample-correlation.csv— Multi-variable correlation datasample-proportions.csv— Part-of-whole data
Technical Stack
- Frontend: React + TypeScript + Vite
- Charts: Recharts (built on D3.js)
- Styling: Tailwind CSS
- Export: html2canvas + jsPDF
- Build: 382KB production build
Web App
Try the live demo: https://courageous-bonbon-d1af15.netlify.app
Usage Tips
- For large datasets (>10K rows), use aggregation before visualizing
- AI recommendations work best with 3-20 columns
- Export at 2x resolution for print-quality output
- Use the dashboard view to tell a complete data story
Usage Guidance
This skill appears to be a benign data-visualization helper, but it has small inconsistencies that merit caution: (1) the SKILL.md claims sample datasets and a web app build but the package contains no code or those files — treat the live demo URL as an external, unverified site; (2) the skill asks for pasted CSV/JSON or a file path — do not give file paths to sensitive local files, and avoid uploading private data when testing; (3) if you plan to rely on this skill, ask the publisher for source code or a trustworthy repository, test with non-sensitive sample data first, and confirm where data is processed (local agent vs external demo). If you need higher assurance, only install skills with verifiable source code or from trusted publishers.
Capability Analysis
Type: OpenClaw Skill
Name: data-visualization-pro-automaton
Version: 1.0.0
The skill bundle contains metadata and documentation for a data visualization tool. The instructions in SKILL.md are consistent with the stated purpose of parsing CSV/JSON data to generate charts and dashboards. No executable code, data exfiltration logic, or malicious prompt injection patterns were identified in the provided files.
Capability Assessment
Purpose & Capability
Name/description describe a client-side visualization tool and the SKILL.md stays on-topic, but it claims included sample datasets and a 382KB production build / specific frontend stack while no code or sample files are present in the package. The live demo URL is provided but there is no install or source code to verify the app. These are marketing-style claims that aren't reflected in the bundle.
Instruction Scope
Instructions tell the agent to accept pasted CSV/JSON or a 'file path' and to parse/analyze data — this is appropriate for visualization, but 'provide file path' is ambiguous and could lead the agent to read local files. The SKILL.md does not explicitly instruct the agent to upload data to remote services, but the presence of an external demo URL means users might be directed to or influenced to use an external endpoint. No instructions request unrelated system files or env vars.
Install Mechanism
No install spec and no code files — nothing is written to disk by the skill itself. This is the lower-risk configuration for an instruction-only skill.
Credentials
The skill requests no environment variables, secrets, or config paths. There are no declared credentials, which is proportionate for a visualization helper that runs client-side or as instructions.
Persistence & Privilege
always is false and the skill requires user invocation. It does not request permanent platform presence or to modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install data-visualization-pro-automaton - After installation, invoke the skill by name or use
/data-visualization-pro-automaton - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: 6 chart types, AI recommendations, CSV/JSON import, interactive dashboards
Metadata
Frequently Asked Questions
What is Data Visualization Pro (Automaton)?
AI-powered data visualization tool with 6 chart types (bar, line, pie, scatter, heatmap, radar), CSV/JSON import, AI-driven chart recommendations, interactiv... It is an AI Agent Skill for Claude Code / OpenClaw, with 533 downloads so far.
How do I install Data Visualization Pro (Automaton)?
Run "/install data-visualization-pro-automaton" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Data Visualization Pro (Automaton) free?
Yes, Data Visualization Pro (Automaton) is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Data Visualization Pro (Automaton) support?
Data Visualization Pro (Automaton) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Data Visualization Pro (Automaton)?
It is built and maintained by chenghaifeng08-creator (@chenghaifeng08-creator); the current version is v1.0.0.
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