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Thesis Visual Layout Planner

Community
WILLOSCAR
thesis-visual-layout-planner

规划中文毕业论文的图表、流程图和版面节奏:先决定哪些图表支撑主线,再做草图、拼版预演与图文映射。

Overview

PublisherWILLOSCAR
Repositoryresearch-units-pipeline-skills
Skill namethesis-visual-layout-planner
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 Visual Layout Planner 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-visual-layout-planner
  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-visual-layout-planner .claude/skills/thesis-visual-layout-planner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Thesis Visual Layout Planner 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 Visual Layout Planner 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 Visual Layout Planner 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 Visual Layout Planner

Triggers & routing

  • Trigger: 图表规划, figure layout, thesis visual plan, 版面预演, 图文映射, mermaid 草图.
  • Use when: 章节结构基本明确,但图表还没有系统安排,或者担心图文节奏、图表密度和版面结构失控。
  • Skip if: 论文不依赖图表支撑主线,或仍在纯结构重构早期。
  • Network: none.
  • Guardrail: 不把图表拖成最后补丁;不先排版再倒推结构;图表服务主线而不是抢主线。

Inputs

  • 稳定版大纲
  • 各章 Markdown
  • 已有图表、实验结果、系统框架图素材

Outputs

  • codex_md/figure_plan.md
  • codex_md/mermaid/
  • tmp_layout/
  • tmp_layout2/

Load Order

Always read:

  • references/overview.md
  • references/visual_planning_checklist.md
  • references/layout_failure_modes.md

Machine-readable contract:

  • assets/visual_layout_contract.json

Workflow

  1. 先确定每章真正需要哪些图表
  2. 区分:概念图 / 流程图 / 架构图 / 实验表 / 结果图
  3. 先做草图,再做拼版,再决定落位
  4. 记录图文映射关系与图注口径

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 Visual Layout Planner AI skill do?

规划中文毕业论文的图表、流程图和版面节奏:先决定哪些图表支撑主线,再做草图、拼版预演与图文映射。

Why use Thesis Visual Layout Planner on TypingMind?

Because you install it once and use it with any model. Thesis Visual Layout Planner 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 Visual Layout Planner 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-visual-layout-planner. 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 Visual Layout Planner?

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 Visual Layout Planner?

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

Is the Thesis Visual Layout Planner 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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