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Install in OpenClaw
/install veezvg-data-visualization
Description
根据数据类型智能选择图表，并按统一规范生成专业 Python matplotlib 可视化代码。 支持三套专业风格模板：BCG（默认绿色简洁风）、The Economist（红线+青蓝媒体风）、McKinsey（亮青+浅灰咨询风）。 触发场景：用户需要可视化数据、生成图表、画图、制作柱状图/折线图/饼图/散点图/...
Usage Guidance
This skill appears coherent and safe: it ships only matplotlib templates, style guides, and instructions to pick/modify examples and output Python plotting code. There are a few practical things to note before running generated code: (1) Example scripts save images to the current working directory (plt.savefig) — expect local file writes. (2) All examples reference a macOS font path (/System/Library/Fonts/STHeiti Light.ttc); on other OSes you may need to adjust the font path or install an appropriate Chinese font. (3) The skill does not call the network or request credentials, but as with any code from an untrusted source, inspect generated scripts before executing them in sensitive environments. Finally, ensure you have matplotlib (and any required fonts) installed locally; the repository README notes licensing is unspecified, so confirm licensing if you plan to redistribute.
Capability Analysis
Type: OpenClaw Skill
Name: veezvg-data-visualization
Version: 1.0.0
The veezvg-data-visualization skill bundle is a legitimate tool designed to generate professional Python matplotlib code for data visualization in BCG, McKinsey, and The Economist styles. The provided Python scripts in the examples/ directory and the instructions in SKILL.md and visualization_spec.md focus exclusively on chart formatting, layout, and data representation. There is no evidence of data exfiltration, malicious execution, or prompt injection; the code only utilizes standard visualization libraries (matplotlib) and references local system fonts for rendering.
Capability Assessment
Purpose & Capability
Name/description (generate professional matplotlib code in three styles) matches the shipped assets and requirements: the repo contains examples, references, and a SKILL.md describing how to pick templates and produce code. No extraneous credentials, binaries, or unrelated capabilities are requested.
Instruction Scope
SKILL.md directs the agent to analyze data, select a chart type, prefer examples/ templates in examples/, consult references/visualization_spec.md, and output Python code. The instructions do not ask the agent to read unrelated system files, access environment variables, or transmit data externally. They do instruct producing runnable code and the example scripts save images to disk (plt.savefig), which is expected for this purpose.
Install Mechanism
No install specification; the skill is instruction-only with included example scripts. There are no downloads or package installs described in SKILL.md or the manifest. Risk from installation is minimal.
Credentials
The skill requires no environment variables, no credentials, and no config paths. The only system dependency in the code is an explicit font path (/System/Library/Fonts/STHeiti Light.ttc), which is a cross-platform compatibility detail (not a secret) and not a credential request.
Persistence & Privilege
The skill is not always-enabled (always: false) and does not request persistent privileges or modify other skills or global agent settings. It performs normal local file writes (saving PNGs) when example scripts are run, which is appropriate for plotting templates.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install veezvg-data-visualization - After installation, invoke the skill by name or use
/veezvg-data-visualization - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release with professional multi-style data visualization code generation using matplotlib:
- Intelligently selects optimal chart type based on data type and user scenario.
- Supports three professional style templates: BCG (default green), The Economist (media red-blue), McKinsey (bright cyan/grey).
- Provides complete runnable Python script examples for each style and chart type.
- Enforces strict visual guidelines, color schemes, and formatting for each style.
- Offers clear workflow and chart selection guidance for fast, standardized visualization output.
Metadata
Frequently Asked Questions
What is Data Visualization?
根据数据类型智能选择图表，并按统一规范生成专业 Python matplotlib 可视化代码。 支持三套专业风格模板：BCG（默认绿色简洁风）、The Economist（红线+青蓝媒体风）、McKinsey（亮青+浅灰咨询风）。 触发场景：用户需要可视化数据、生成图表、画图、制作柱状图/折线图/饼图/散点图/... It is an AI Agent Skill for Claude Code / OpenClaw, with 130 downloads so far.
How do I install Data Visualization?
Run "/install veezvg-data-visualization" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Data Visualization free?
Yes, Data Visualization is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Data Visualization support?
Data Visualization is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Data Visualization?
It is built and maintained by veezVg (@veezvg); the current version is v1.0.0.
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