经 AI Skill Hub 精选评估,Claude研究工具 获评「强烈推荐」。这款Prompt模板在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.0 分,适合有一定技术背景的用户使用。
为物理学家和数学家提供的Claude Code使用指南和工具包
Claude研究工具 是经过精心设计和反复验证的专业 Prompt 模板集合。这些 Prompt 框架能够有效激活 Claude、ChatGPT 等大型语言模型的深层能力,让 AI 生成更准确、更有价值的输出结果。无需任何安装,直接复制模板内容到 AI 对话框即可使用。
为物理学家和数学家提供的Claude Code使用指南和工具包
Claude研究工具 是经过精心设计和反复验证的专业 Prompt 模板集合。这些 Prompt 框架能够有效激活 Claude、ChatGPT 等大型语言模型的深层能力,让 AI 生成更准确、更有价值的输出结果。无需任何安装,直接复制模板内容到 AI 对话框即可使用。
# Prompt 无需安装,直接复制使用 # 支持:Claude / ChatGPT / Gemini / 通义千问 等主流模型 # 使用步骤 # 1. 复制 Prompt 模板内容 # 2. 粘贴到 AI 对话框 # 3. 替换 [占位符] 为实际内容 # 4. 发送后获取结构化输出 # 获取原始文件 git clone https://github.com/Mexregkan/claude-for-researchers
# 粘贴到 Claude/ChatGPT 使用 # 示例 Prompt 结构: 你是一位 [角色],擅长 [领域]。 请根据以下要求完成任务: 任务背景:[描述背景] 具体要求:[详细说明] 输出格式:[期望格式] # 将 [] 内内容替换为实际需求
# claude-for-researchers 配置文件示例(config.yml) app: name: "claude-for-researchers" debug: false log_level: "INFO" # 运行时指定配置文件 claude-for-researchers --config config.yml # 或通过环境变量配置 export CLAUDE_FOR_RESEARCHERS_API_KEY="your-key" export CLAUDE_FOR_RESEARCHERS_OUTPUT_DIR="./output"
A practical guide and toolkit for researchers — especially physicists and mathematicians — who want to use Claude Code productively on long, technically demanding projects.
This guide is written from real experience running a months-long mathematical research project with Claude Code, not a weekend experiment. It covers what works, what wastes time, the failure modes you will hit, and how to set up a workflow that survives them.
What this guide is not. There are other projects focused on getting Claude to conduct research autonomously — literature surveys, hypothesis generation, paper drafting. This is not that. The goal here is to give you a well-structured workspace and a reliable workflow so that you can do the research faster and more cleanly: less time on housekeeping, better continuity across sessions, fewer mistakes from working in a big messy codebase. Claude is the tool; you are the researcher.
Version 2026.06 — see CHANGELOG.md for recent updates. If you set up a project from an earlier copy, the changelog tells you what is worth re-copying from starter/.
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The quality of the task description determines the quality of the next session.
A bad task description is vague:
"Work on the boundary residue calculation."
Claude does not know which boundary, which residue, what the current state is, or what you want to produce.
A good task description is self-contained:
Context: We are verifying the formula R_σ = -∏ξ(2μ_i - [σ_i = -1]) for the interior pole residues of M_3. We have checked it for the n_- = 1 representative at three integer tuples and it passes to ratio 1.0003. What to do: Check the formula for the n_- = 2 representative at the integer point (μ_0,μ_1,μ_2,μ_3) = (5,4,3,2). This should give Res = -ξ(9)ξ(7)ξ(5)ξ(3). Write the residue extraction script in numerics/residue_n2.py following the pattern of residue_general.py. Success: The computed ratio (numerical residue)/(formula value) is within 0.1% of 1.0.
Someone reading this description — Claude, or you three months from now — knows exactly what to do and how to check that it is done correctly.
New to Claude Code? Start here. By the end of this part you will have a working installation and a fully configured research project — most of it set up by Claude itself. Experienced users can skip ahead to Part II.
This section is for readers who have never used VS Code or Claude Code before. If you are already set up, skip to Bootstrapping a new project with Claude.
1. In VS Code, click the Extensions icon on the left sidebar (it looks like four squares, one slightly detached). 2. In the search box that appears, type Claude Code. 3. The first result should be "Claude Code" by Anthropic. Click Install. 4. After installation, a Claude icon appears in the left sidebar.
Alternatively, you can install Claude Code as a command-line tool and use it from any terminal without VS Code:
npm install -g @anthropic-ai/claude-code
This requires Node.js to be installed. The VS Code extension is easier if you are not familiar with the terminal.
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This guide serves two audiences at once, so it is organised in parts:
- Never used Claude Code? Read Part I from the top. It takes you from nothing to a fully configured project — including a step where Claude does the setup for you. Then read Part II gradually, as the topics become relevant to your work. You do not need anything in Part III to be productive. - Already using Claude Code? Skip Part I (except perhaps Bootstrapping, which is useful for any new project) and start with Part II — the workflow patterns there are the heart of this guide. Add the machinery in Part III when you want it. - Everyone, whatever your experience level: read Honest limitations before trusting anything Claude produces. The failure modes described there are not edge cases.
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Visual overviews of the two key workflows. Scan these before reading the full guide.
| Setting up a new project | Each working session |
|---|---|
|  |  |
Green = start/end · Blue = action · Gold = decision · Red label = no path · Green label = yes path
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Most of what this guide recommends — workbook.tex, brief.tex, and next-session-prompts.md — exists specifically to make closing a session painless.
workbook.tex is the permanent record. Closing a session does not lose work, because everything established is already written down in full.
brief.tex is the orientation document. A new session reads it first and reaches working context in minutes, not in a long re-explanation. Without it, you would either keep sessions open too long to avoid re-orienting Claude, or spend the first 20 minutes of every session catching Claude up.
next-session-prompts.md captures the in-flight state: what you were in the middle of, why a particular approach failed, what the immediate next step is. This is the context that does not fit anywhere else — too specific and temporary for brief.tex, too detailed for CLAUDE.md.
Together, they mean that ending a session and starting a new one is a deliberate tool, not a loss. Use it.
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The heart of the guide: how to organise a long research project so that every Claude session is productive. This part is for everyone — but you do not need to read it all on day one. Start working, and come back to each topic as it becomes relevant.
VS Code is a free text editor made by Microsoft. Claude Code runs inside it as an extension. You can also run Claude Code in a standalone terminal, but VS Code gives you a much better experience: you see the files Claude is editing, the terminal where it runs, and the chat window all in one place.
1. Go to https://code.visualstudio.com and click the download button for your operating system. 2. Run the installer. On macOS, drag VS Code into your Applications folder. On Windows, the installer does everything for you. 3. Open VS Code. You will see a welcome screen. You can close it.
That is all. You do not need to configure anything in VS Code before continuing.
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If you prefer answering questions over pasting a prompt, scripts/bootstrap.sh does the same setup deterministically. Run it from your new project folder:
curl -fsSL https://raw.githubusercontent.com/Mexregkan/claude-for-researchers/main/scripts/bootstrap.sh | sh
It asks for the project title, author, numerics engine, and whether you cite literature, want the validation skills, or pair with a shared Overleaf project. It then installs the universal core — CLAUDE.md plus the workbook / brief / next-session-prompts trio, with your title and author already filled in — and only the skills your answers make relevant, skipping any skill already in your global ~/.claude/skills/. It never overwrites an existing file, creates the generated/ staging folders when you run numerics, and offers git init.
The script handles structure; it cannot write your introduction or conventions. It finishes by printing the short prompt to paste into your first Claude session, which fills the remaining bracketed stubs from your project description. Both routes end in the same place — with the prompt, Claude makes the relevance decisions from your description; with the script, you make them by answering questions.
If you have existing Mathematica notebooks or scripts, run /nb-to-wolfbook on them after setup is complete. Point it at a file or a whole directory and it will convert everything to Wolfbook's .wb format in one step — re-run the cells afterwards to regenerate output.
Why the install commands prompt (once). The settings.json Claude just wrote allows ordinary commands to run freely and asks before anything dangerous (rm, mv, git reset --hard, sudo, …) — it blocks nothing outright, so you stay in control without ever being stuck. That is the behaviour you want: Claude runs LaTeX, Python, and git without interrupting you, and only pauses before something risky. But Claude Code reads settings.json once, at session start, so it does not take effect until your next session. That is why the four install commands in this very first session ask for permission. Approve them; from the next session on, routine commands won't prompt you again.
This works because Claude Code can read a GitHub repository, run shell commands, and write files, and because the guide it is reading contains explicit templates and instructions. Filling those templates with your project — turning a description into a working CLAUDE.md, workbook.tex, and brief.tex — is exactly the kind of structured work Claude does reliably. The research that follows is yours.
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高质量的开源工具包,适合研究人员使用
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
AI Skill Hub 点评:Claude研究工具 的核心功能完整,质量优秀。对于内容创作者和自媒体人来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | claude-for-researchers |
| Topics | promptacademicai-toolsclaude-codelatexllmpython |
| GitHub | https://github.com/Mexregkan/claude-for-researchers |
| License | MIT |
| 语言 | Python |
收录时间:2026-06-29 · 更新时间:2026-06-29 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
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