Skill-Research-Figure — Claude Skill by chingswy

by chingswy · Claude Skill · ★ 99

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About Skill-Research-Figure

Research Figure Skills 一组 Claude Code Skills,让 Claude 帮你画出好看的图。支持两种输出格式: LaTeX TikZ — 学术论文级别的 method pipeline 图,编译为 PDF/PNG SVG 手绘风格 — 零依赖的手绘白板图,适合教学、文档、团队沟通 只需用自然语言描述你想要的图,Claude 自动生成、编译、自检、迭代。 Gallery SVG · Transformer 自注意力机制教学图(16:9) SVG · 深度学习知识图谱(1:1)  |  Python 学习路径(A4 竖版) TikZ · NeRF 3D 重建 Pipeline(学术论文风格) TikZ · Text-to-Image 扩散模型  |  多模态大语言模型 Skill 1: TikZ Research Figure 生成学术论文级别的 method pipeline 图。适合投稿、正式报告。 功能特性 卡片式排版:每个模块用圆角矩形框包裹,箭头连接,结构一目了然 低饱和配色:5 套预定义学术配色方案,专业美观 紧凑对齐:横纵对齐,最小化空白区域 自动编译验证:生成 TikZ 代码后自动编译为 PDF/PNG,AI 自检并修复问题 迭代优化:根据用户反馈反复调整,直到满意为止 工作流程 整个流程分为 5 个阶段: 你只需要提供论文的摘要或方法描述,skill 会自动: 提取 pipeline 结构: 识别哪些模块是 novel contribution(需要视觉突出) 选择合适的排版模板和配色 生成完整可编译的 standalone 文件 编译并自检图片质量 使用方式 在 Claude Code 中直

Quick Facts

Stars99
Forks1
LanguagePython
CategoryClaude Skill
Quality Score55.6241855526853/100
Last Updated2026-06-13
Created2026-02-28
Platformsclaude-code, python
Est. Tokens~13k

Compatible Skills

These tools work well together with Skill-Research-Figure for enhanced workflows:

  • optimus-claude — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)

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Frequently Asked Questions

What is Skill-Research-Figure?

Skill-Research-Figure is 用来画专业学术论文tikz图和手绘风格SVG图的Claude Code Skills. It is categorized as a Claude Skill with 99 GitHub stars.

What programming language is Skill-Research-Figure written in?

Skill-Research-Figure is primarily written in Python.

How do I install or use Skill-Research-Figure?

You can find installation instructions and usage details in the Skill-Research-Figure GitHub repository at github.com/chingswy/Skill-Research-Figure. The project has 99 stars and 1 forks, indicating an active community.

What are the best alternatives to Skill-Research-Figure?

The top alternatives to Skill-Research-Figure on Agent Skills Hub include life-sciences, claude-ai-mcp, skyll. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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