Norman-bury/research-writing-skill is an agent skill that turns academic paper writing into a tracked, reusable workflow with planning, drafting, reviews, figures, literature work, and LaTeX outputs. It is intended for undergraduate students, graduate students, and early-career researchers working on theses, coursework papers, or initial submissions. Its catalogue entries are the skills, instructions, plugin, and hook that implement the workflow across coding-agent platforms.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Norman-bury/research-writing-skill --skill figures-diagramgit clone --depth 1 https://github.com/Norman-bury/research-writing-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/norman-bury/research-writing-skill/figures-diagram)<a href="https://agentmods.dev/skills/norman-bury/research-writing-skill/figures-diagram"><img src="https://agentmods.dev/badge/skills/norman-bury/research-writing-skill/figures-diagram/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/norman-bury/research-writing-skill/figures-diagram"><img src="https://agentmods.dev/badge/skills/norman-bury/research-writing-skill/figures-diagram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00023 | $0.01332 |
| Opus 5 | $0.00012 | $0.00666 |
| Sonnet 5 | $0.00005 | $0.00266 |
| Haiku 4.5 | $0.00002 | $0.00133 |
Grade A, and why
figures-diagram scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
流程图/结构图生成
本技能用于识别流程图、结构图、概念图等需求，并生成专业的画图提示词供生图AI使用。
一、适用场景
本技能处理的图表类型
| 图表类型 | 描述 | 示例 |
|---|---|---|
| 流程图 | 展示步骤、流程、算法 | 数据处理流程、实验步骤 |
| 架构图 | 展示系统、模型结构 | 神经网络架构、系统架构 |
| 概念图 | 展示概念关系 | 理论框架、知识结构 |
| 组织图 | 展示层级关系 | 分类体系、组织结构 |
| 时间线 | 展示时间顺序 | 研究历程、发展阶段 |
不适用本技能的图表
以下图表应使用 figures-python 技能：
- 折线图、柱状图、饼图等数据图表
- 散点图、热力图等统计图表
- 需要精确数值的任何图表
二、Checklist
- 确认是流程/结构图（非数据图表）
- 收集图表信息（目的、元素、关系）
- 确认风格偏好和语言要求
- 生成提示词
- 推荐生图AI工具
三、提示词生成模板
3.1 通用模板结构
绘制一个学术论文级别的[图表类型]，展示"[主题]"。
【整体布局】
- 布局方向：[从上到下/从左到右/中心辐射]
- 背景颜色：白色
- 风格：专业学术风格
- 分辨率：450 DPI
【具体内容】
[详细描述每个元素和关系]
【配色方案】
- [颜色1]：[用途]
- [颜色2]：[用途]
【风格要求】
- 所有文字清晰可读
- 箭头流向清晰
- 添加必要的标注
3.2 流程图模板
绘制一个学术论文级别的流程图，展示"[流程名称]"。
【流程步骤】
步骤1：[名称]
- 框体颜色：[颜色]
- 内容：[内容]
步骤2：[名称]
- 与步骤1的关系：[箭头说明]
...
【配色方案】
- 蓝色(#4E79A7)：数据处理步骤
- 橙色(#F28E2B)：核心算法步骤
- 绿色(#59A14F)：输出/结果步骤
【风格要求】
- 圆角矩形框
- 带箭头连线
- 关键步骤加粗边框
3.3 神经网络架构图模板
绘制一个学术论文级别的神经网络架构图，展示"[模型名称]"。
【网络结构】
输入层：[形状、表示方式]
隐藏层1：[层类型]
- 参数：[卷积核大小、通道数等]
- 颜色：[颜色]
[继续添加层...]
输出层：[形状、激活函数]
【配色方案】
- 蓝色系：卷积层
- 绿色系：池化层
- 橙色系：全连接层
- 紫色系：注意力层
【标注要求】
- 每层标注名称和参数
- 标注输入输出维度
- 创新点用红色虚线框标注
四、推荐生图AI
| 工具 | 特点 | 适用场景 |
|---|---|---|
| Nano Banana | 学术图表专业 | 流程图、架构图 |
| Midjourney | 艺术感强 | 概念图、封面图 |
| DALL-E 3 | 理解力强 | 复杂结构图 |
使用建议：
- 首选 Nano Banana：专为学术图表设计
- 复杂结构用 DALL-E 3：对复杂描述理解更好
- 需要迭代用 Midjourney：支持变体生成
五、配色参考
Nature/Science 风格
蓝色: #2E86AB
玫红: #A23B72
橙色: #F18F01
砖红: #C73E1D
黄绿: #95C623
简约学术风格
深蓝: #1D3557
中蓝: #457B9D
浅蓝: #A8DADC
米白: #F1FAEE
砖红: #E63946
配色使用建议
- 输入/输出：蓝色系
- 核心处理：橙色系（加粗边框）
- 辅助步骤：灰色系
- 创新标注：红色虚线
- 成功/完成：绿色系
六、对话流程
用户请求流程图时
"我来帮你生成流程图的提示词。先确认几个信息：
- 图表目的：这个流程图要展示什么？
- 主要步骤：包含哪些关键步骤？
- 步骤关系：是线性流程还是有分支/循环？
- 语言要求：中文还是英文标注？
- 目标期刊：投稿到什么类型的期刊？"
生成提示词后
"已生成画图提示词，请复制到生图AI使用：
[提示词内容]
推荐使用：Nano Banana
生成后如果需要微调，可以告诉我具体修改需求。"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 180 lines · 23 tokens per session scan A 6bb3c8e03728
figures-diagram is a skill published in the GitHub repository Norman-bury/research-writing-skill (3,195 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 1,332 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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