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在 OpenClaw 中安装
/install veezvg-data-visualization
功能描述
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/...
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install veezvg-data-visualization - 安装完成后，直接呼叫该 Skill 的名称或使用
/veezvg-data-visualization触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
Data Visualization 是什么？
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/... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 130 次。
如何安装 Data Visualization？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install veezvg-data-visualization」即可一键安装，无需额外配置。
Data Visualization 是免费的吗？
是的，Data Visualization 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Data Visualization 支持哪些平台？
Data Visualization 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Data Visualization？
由 veezVg（@veezvg）开发并维护，当前版本 v1.0.0。
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