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Thesis Workspace Init

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WILLOSCAR
thesis-workspace-init

初始化中文毕业论文工作区:检查学校模板与已有材料的放置位置,明确提示当前还缺什么,建立 `codex_md/` / `claude_md/` / `tmp_layout*/` 等中间层目录,并生成材料盘点与初始工作文件。

Overview

PublisherWILLOSCAR
Repositoryresearch-units-pipeline-skills
Skill namethesis-workspace-init
Stars
513
Forks
39
Bundled files
4
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by WILLOSCAR on GitHub. Read the source before you install it.

Installation

Install the Thesis Workspace Init AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/thesis-workspace-init
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git /tmp/research-units-pipeline-skills
mkdir -p .claude/skills
cp -r /tmp/research-units-pipeline-skills/.codex/skills/thesis-workspace-init .claude/skills/thesis-workspace-init
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Thesis Workspace Init in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Thesis Workspace Init on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Thesis Workspace Init is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Thesis Workspace Init

Triggers & routing

  • Trigger: 毕业论文初始化, thesis workspace, 中文毕业论文准备, 模板归位, 材料盘点, 初始化论文工程.
  • Use when: 你要开始一条毕业论文重构流程,手头已经有学校模板、旧 tex、PDF、Overleaf 源稿、bib 或图表材料,需要先把工程和中间层搭起来。

初始化一条中文毕业论文重构流程所需的工作区,而不是只复制通用 workspace 模板。

这个 skill 负责四件事:

  1. 检查材料是否放在对的位置
  2. 明确写出“当前还缺什么 / 哪些位置异常 / 哪些需要用户确认”
  3. 建立毕业论文专用中间层目录与初始文件
  4. 生成材料盘点与待补信息清单

Inputs

建议至少具备以下材料中的一部分:

  • 学校模板或现有论文仓库
  • main.tex
  • 已有 chapters/*.tex
  • pdf/ 下的已发表 / 已投稿论文
  • Overleaf_ref/ 下的源稿或修回稿
  • references/ 下的 bib / 样式文件
  • 题目、学号、年份等基础元信息

Outputs

  • codex_md/material_index.md
  • codex_md/material_readiness.md
  • codex_md/missing_info.md
  • codex_md/question_list.md
  • codex_md/00_thesis_outline.md
  • claude_md/review_checklist.md
  • tmp_layout/
  • tmp_layout2/
  • mermaid/(位于 codex_md/mermaid/)

Load Order

Always read:

  • references/overview.md
  • references/material-placement.md

Machine-readable contract:

  • assets/workspace_contract.json

Workflow

  1. 检查是否已经存在可用工作区
  • 如果核心中间工件已经齐全,只补缺,不重置
  1. 盘点材料放置位置
  • 对照 references/material-placement.md
  • 标出“已有 / 缺失 / 位置异常 / 待人工确认”
  1. 初始化毕业论文专用中间层
  • 建立 codex_md/、claude_md/、tmp_layout/、tmp_layout2/
  • 生成最小工作文件骨架
  1. 写出材料盘点、就绪度和缺口清单
  • codex_md/material_index.md
  • codex_md/material_readiness.md
  • codex_md/missing_info.md
  1. 生成本轮工作入口
  • codex_md/question_list.md
  • codex_md/00_thesis_outline.md

Script

Quick Start

  • uv run python .codex/skills/thesis-workspace-init/scripts/run.py --workspace <workspace>

All Options

  • --workspace <dir>

Notes

  • 当前脚本只做目录与骨架文件初始化,不负责正文抽取与重构。
  • 如果还没有标准 workspace,可以先使用现有 workspace-init,再运行这个 skill 补齐毕业论文专用结构。

Block Conditions

遇到以下情况应停止并先修正:

  • 没有任何可用模板或现有论文工程
  • main.tex 完全缺失且也没有可替代的源稿入口
  • 材料散落且无法判断哪个目录才是权威来源

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Thesis Workspace Init AI skill do?

初始化中文毕业论文工作区:检查学校模板与已有材料的放置位置,明确提示当前还缺什么,建立 `codex_md/` / `claude_md/` / `tmp_layout*/` 等中间层目录,并生成材料盘点与初始工作文件。

Why use Thesis Workspace Init on TypingMind?

Because you install it once and use it with any model. Thesis Workspace Init is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Thesis Workspace Init in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/thesis-workspace-init. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Thesis Workspace Init?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Thesis Workspace Init?

As many as you like. As long as a model supports skills, you can use Thesis Workspace Init with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Thesis Workspace Init AI skill free?

It is published on GitHub by WILLOSCAR. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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