Paper Maker — Productivity skill for Claude Code
Agent Skill for Chinese undergraduate/master's thesis writing.
How to install Paper Maker
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Zovo314/paper-maker and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Paper Maker does
Agent Skill for Chinese undergraduate/master's thesis writing. Hallucination-free literature search, chapter-by-chapter writing strategy, experiment-driven workflow. Follows agentskills.io specification.
Alternatives in Productivity
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- GrokSearch — Integrate Grok's powerful real-time search capabilities into Claude via the MCP protocol 1.8k ★
README
paper-maker
中国本科/硕士毕业论文全流程 AI 辅助 Skill,遵循 [Agent Skills](https://agentskills.io) 开放规范。
适用于 Claude Code、Gemini CLI、Copilot CLI 等支持 Agent Skills 规范的 AI 编程助手。
解决什么问题
用 AI 辅助写毕业论文时,常遇到三个核心难题:
| 问题 | 后果 | 本 Skill 的解决方案 |
|---|---|---|
| AI 编造参考文献 | 虚假引用,答辩不通过 | 零幻觉检索:强制使用 WebSearch 搜索真实学术数据库 |
| 上下文窗口不足 | 前后矛盾、术语混乱、后半质量差 | 三层递进法:总纲 → 章纲 → 逐节展开 |
| 缺乏实验支撑 | 论点空洞 | 实验驱动:完整的实验设计-执行-分析流程 |
全流程覆盖
Phase 0 选题与开题 → 开题报告
Phase 1 文献调研 → 结构化文献库(零幻觉)
Phase 2 实验设计与执行 → 可复现的实验代码与结果
Phase 3 论文撰写 → 逐章逐节完成的完整论文
Phase 4 查重与修改 → 格式定稿
Phase 5 答辩准备 → PPT + 预判问答
安装
Claude Code
claude install-skill /path/to/paper-maker
# 或从 GitHub 安装
claude install-skill https://github.com/your-username/paper-maker
手动安装
将 `paper-maker/` 目录复制到你的 AI 助手的 skills 目录:
# Claude Code
cp -r paper-maker ~/.claude/skills/
# Gemini CLI
cp -r paper-maker ~/.agents/skills/
# 或任何支持 agentskills.io 规范的产品的 skills 目录
使用
安装后,当你向 AI 助手提及毕业论文相关话题时,skill 会自动触发。也可以手动调用:
/paper-maker
然后按提示提供论文基本信息(学位层次、专业、主题等),AI 会引导你逐步完成全流程。
项目结构
paper-maker/
├── SKILL.md # 主 Skill 文件(入口)
├── references/
│ ├── literature-search.md # 文献检索详细指南
│ ├── experiment-design.md # 实验设计模板与规范
│ └── writing-strategy.md # 三层递进撰写策略
├── assets/
│ └── project-structure.md # 论文项目文件结构模板
├── LICENSE # Apache-2.0
└── README.md
核心特性
1. 零幻觉文献检索
所有文献信息必须来自 WebSearch/WebFetch 的真实返回结果,每条记录强制包含 `检索方式` 字段作为可追溯证据:
## [1] Attention Is All You Need
- **作者**: Vaswani, A., et al.
- **来源**: NeurIPS, 2017
- **检索方式**: WebSearch "site:scholar.google.com attention transformer" → 第1条
2. 三层递进撰写
第一层 论文总纲 锁定全局结构 + 术语表 + 符号表
↓
第二层 章节大纲 每章细化到节级别 + 衔接设计
↓
第三层 逐节撰写 每次加载:总纲 + 章纲 + 前一节尾段 + 文献
3. 实验驱动
提供从假设、变量设计、数据集准备到消融实验的完整模板,要求代码可复现(固定随机种子、配置分离、依赖锁定)。
环境要求
- 需要 WebSearch 和 *
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