{"repo":"Azhi-ss/academic-figure-skills","free":true,"listed":false,"github":"https://github.com/Azhi-ss/academic-figure-skills","clone":"git clone https://github.com/Azhi-ss/academic-figure-skills.git","description":"AI skills for academic paper figures: repo analysis, figure planning, colorblind palettes, JSON figure specs. Install: npx skills add Azhi-ss/academic-figure-skills","language":"Python","stars":84,"topics":["academic-writing","agent-skills","claude-code","cvpr","neurips","npx-skills","paper-figures","prompt-engineering","scientific-visualization","colorblind-palette"],"license":"MIT","category":"cli-tools","readme_excerpt":"Academic Figure Skills Academic paper figure skills for Claude Code, Cursor, Codex & Gemini CLI. AI 驱动的学术论文配图技能包：仓库分析 → 配图规划 → 色盲友好配色 → JSON 配图规范 / 现代 pastel 提示词。 是什么？ 7 个可独立安装的 agent skill，覆盖「分析代码仓库/论文 → 规划配图 → 选配色 → 生成图片 prompt → 调用生图模型」全链路。支持 classic 框线学术图（CVPR/Nature）和 pastel 柔彩图（ICLR/NeurIPS 2024-2025）两种风格。10 个真实仓库基准验证。 7 skills · palette SSOT · classic / pastel · 10 real-repo benchmarks · Install: npx skills add Azhi-ss/academic-figure-skills -g --all 快速开始（30 秒） 然后对 agent 说： 1. \"帮我分析这个 ML 代码仓库\" 2. \"用 Okabe-Ito 配色，生成总体框架图\" 或 \"ICLR 那种现代柔彩风格画一张 token 流图\" 先看有哪些 skill（不安装）： 示例配图 以下为使用本技能包生成提示词后创建的学术配图示例： Claude Opus 4.6 提示词 + Gemini NanoBanana2Flash 豆包 2.0 Pro 提示词 + Gemini NanoBanana2Flash GLM-5 提示词 + Gemini NanoBanana2Flash 真实仓库基准：stable-diffusion / nanoGPT / ESM / AlphaFold / GraphCast / transformers / CycleGAN / NeRF / DETR / Whisper + sparse fixture（10 个真实仓库 + 1 个合成夹具，每个含分析文档、配图规划、JSON spec） 技能列表 技能 功能 触发词示例 ----- ------ ----------- academic-figure-workflow 总入口路由：repo / paper / color / 架构分析 / prompt 完整论文配图工作流、which skill first academic-repo-analyzer ML/DL、AI4Science 与研究代码仓库快速理解文档 分析代码仓库、repo analyzer academic-figure-paper-analyzer 论文配图规划（类型、数量、优先级） 论文需要哪些图、paper figure planning academic-figure-architecture-extractor PDF/图结构分析 + 本地提取脚本 提取论文架构图、architecture diagram academic-figure-color-expert 风格族 + 12 套配色 Palette Decision 学术配图配色、Nature Blue academic-figure-prompt 经典 JSON 配图规范（默认） 论文配图、学术配图JSON academic-figure-prompt-pastel 现代柔彩 ICLR/NeurIPS airy prompt pastel风格、现代ML论文配图 完","default_branch":null,"files":null,"tree":[],"storefront":"/r/Azhi-ss","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Azhi-ss/academic-figure-skills/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}