feat: add chart-visualization skill

[hustcc]

🎨 Skill Usage

If you are using an AI IDE with skill support (like Claude Code), you can use the chart-visualization skill to automatically select the best chart type and generate visualizations.

1. Import .skills/chart-visualization and enable the skill in your editor.
2. Provide your data or describe the visualization you want.
3. The skill will intelligently choose from 25+ chart types and generate the chart for you.

[gemini-code-assist]

Summary of Changes

Hello @hustcc, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the system's data visualization capabilities by integrating a new 'chart-visualization' skill. This skill empowers users to effortlessly generate a wide array of charts and maps by intelligently selecting the appropriate visualization, extracting necessary data parameters, and leveraging a Python-driven backend to produce high-quality visual outputs. The addition streamlines the process of transforming raw data into insightful graphical representations, making data analysis more accessible and efficient.

Highlights

• New Chart Visualization Skill: A comprehensive 'chart-visualization' skill has been introduced, enabling the generation of 25 distinct chart types for various data visualization needs.
• Intelligent Chart Selection Workflow: The skill provides a structured workflow for intelligent chart selection based on data characteristics, parameter extraction, and chart image generation.
• Python-based Chart Generation Backend: A new Python script (generate.py) is added to serve as the backend for chart generation, handling the mapping of tool names to chart types and interacting with an external visualization service.
• Extensive Chart Reference Documentation: Detailed reference documentation (in Chinese) is provided for each of the 25 supported chart types, outlining their specific functionalities, required and optional input fields, usage suggestions, and expected return results.
• IDE Ignore Rule Update: The .gitignore file has been updated to include .codebuddy files, preventing IDE-specific files from being committed.

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[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 81.02%. Comparing base (10330bc) to head (642b76f).
⚠️ Report is 7 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #255      +/-   ##
==========================================
+ Coverage   79.69%   81.02%   +1.33%     
==========================================
  Files          41       42       +1     
  Lines        1788     1982     +194     
  Branches       31       31              
==========================================
+ Hits         1425     1606     +181     
- Misses        361      374      +13     
  Partials        2        2              

see 29 files with indirect coverage changes

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[gemini-code-assist]

Code Review

This pull request introduces a new and comprehensive chart-visualization skill, which is a valuable addition. The implementation includes detailed documentation for 25 different chart types and a Python script for generation. My review focuses on improving the robustness and usability of the Python script and ensuring consistency in the documentation. The most critical issue is the missing dependency declaration for the requests library, which would prevent the script from running in a clean environment. Other feedback includes directing error messages to stderr, handling exceptions more specifically, and clarifying documentation for both script usage and chart parameters to enhance the user experience.