academic-figure-skills

Use this skill whenever the user wants help choosing an academic figure color palette, needs venue-specific or colorblind-safe design advice, wants a paper color scheme recommendation, wants to match a color scheme for extracted architecture diagrams, or says "学术配图配色", "论文配色方案", "色盲友好配色", "学术配色", "架构图配色", "academic color palette", "colorblind safe figure", "paper color scheme", "architecture diagram color matching", "Nature Blue", "单色系". Now 13 preset schemes including the new Nature Blue monochrome, plus monochrome-vs-polychrome philosophy.

Use this skill whenever the user wants detailed English prompts for AI image tools to produce top-conference-quality academic figures, needs prompts for framework diagrams, architecture diagrams, pipeline flowcharts, module detail diagrams, comparison figures, or data-pattern grids. Now also supports JSON structured figure specs for precise layout/text control. Trigger: "论文配图提示词", "生成论文配图", "学术论文生图", "架构图提示词", "框架图提示词", "顶会风格配图", "CVPR 风格图", "NeurIPS 风格图", "paper figure prompt", "academic diagram prompt", "fig JSON spec".

Use this skill whenever the user wants an end-to-end academic figure workflow, wants to go from a repository or paper to a figure prompt, is unsure which academic-figure skill to start with, or says "帮我从仓库到配图走一遍", "完整论文配图工作流", "academic figure workflow", "end-to-end figure pipeline", "from paper to figure prompt", or "which skill should I use first".

Use this skill whenever the user wants to extract architecture diagrams from academic papers, filter out invalid images, analyze the structure and components of diagrams, automatically match suitable color schemes, or says "提取论文架构图", "架构图分析", "从PDF中提取图表", "自动分析架构图", "architecture diagram extraction", "extract figures from pdf", "analyze architecture diagram".

Use this skill whenever the user wants to analyze an academic paper, identify figure-worthy content, plan which figures to generate, suggest figure types and count per section, or says "分析论文配图需求", "论文需要哪些图", "论文配图规划", "paper figure planning", "analyze paper for figures", or "which figures does my paper need".

Use this skill whenever the user wants modern ML or RL paper-style figure prompts matching recent ICLR, NeurIPS, or ICML 2024-2025 aesthetics, needs a soft pastel academic diagram style, or says "pastel风格论文配图", "现代ML论文配图", "modern ML figure prompt", "pastel academic figure", "ICLR 2024 风格图", or "NeurIPS 2025 风格图".

Use this skill whenever the user wants to analyze a deep learning or machine learning code repository, understand what it does, identify its architecture and tech stack, generate a quick understanding document for downstream figure planning, or says "分析代码仓库", "仓库分析", "repo analyzer", "analyze this repo", "理解这个代码库", "what does this repo do", or "code repository analysis".