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    "summary_zh": "创建并审计真实、可访问、可发表的科学图表，使用 Matplotlib、Seaborn 或 Plotly。用于图形设计、多面板布局、不确定性和缺失数据展示、颜色/对比度审查、图像元数据验证以及期刊导出规划。",
    "description_en": "This Agent Skill provides procedural guidance for creating and auditing scientific figures that are truthful, accessible, and publication-ready. It covers figure design principles, multi-panel layouts, honest encoding of uncertainty and missing data, color and contrast review, image metadata validation, and journal export planning. The skill includes bundled command-line tools for inspecting image metadata, auditing palette contrast, planning publisher exports, and previewing styles. It emphasizes preserving raw data, avoiding deceptive visual encodings, and verifying journal-specific requirements. The skill is designed for use with Matplotlib, Seaborn, or Plotly and requires Python 3.11+ and uv for pinned examples. It is distributed under the MIT license.",
    "description_zh": "此 Agent 技能提供创建和审计真实、可访问、可发表的科学图表的过程性指导。涵盖图形设计原则、多面板布局、不确定性和缺失数据的诚实编码、颜色和对比度审查、图像元数据验证以及期刊导出规划。技能包含捆绑的命令行工具，用于检查图像元数据、审计调色板对比度、规划出版商导出和预览样式。强调保留原始数据、避免欺骗性视觉编码以及验证期刊特定要求。该技能设计用于 Matplotlib、Seaborn 或 Plotly，需要 Python 3.11+ 和 uv 用于固定示例。以 MIT 许可证分发。",
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        ],
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