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light-chart

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Create, refine, and audit scientific data figures in Python or R from real data, existing plotting code, or a reference image. Use for 科研绘图、选图、多面板排版、 组学注释热图、随访与效应图、实测信号和时频、生态排序、真实三维场、 图像板伴随定量、参考图适配、LaTeX 科研表格与可编辑论文图交付。 Pure manuscript prose and AI-generated mechanism illustrations use other workflows.

light-chart/skills/light-chart/SKILL.md

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Nov 8, 2026
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# Light Chart

## 项目目录与续作

需要落盘或继续已有项目时，先读 [项目目录约定](references/project-layout.md)，按其中的本阶段位置、版本与关联规则保存；用户指定路径和旧项目优先。包内资源相对本 skill，研究产物相对真实项目，二者不要混用。只做局部讨论时无需初始化目录。

持续项目、评审修图或稿图交接再读 [项目证据与版本衔接](references/project-integration.md)：先恢复有关 Memory，再回科学原件与采用的 FIG/分析/稿件版本核对；实质修订保留前版，将实际结果和未决项接回 Write、Review、Memory 与已有 Workflow。

以 nature-figure 的研究问题—证据—实现—成图核查为执行主干。SciPilot 与 figures4papers 的获许可资源按任务接入；Light-Science 自行实现审图修订工具，并编写[视觉与三维指南](references/visual-review/overview.md)。FigMirror 的概念启发保留来源说明，公开包不包含它的原始代码、提示词或示例图。文件数量和自动 PASS 不证明科研表达或视觉质量。

## 从实际输入开始

先理解研究问题、统计单位、配对/重复/层级结构、分母、单位、原始或汇总数据、已有代码和最终用途。关键科学含义无法推断时才提问；尊重已确定的 Python/R 选择，普通后端选择不增加确认或写全局偏好。
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