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Deploy the built course wiki site/ to GitHub Pages via gh CLI. Pre-checks gh auth status and site/ existence.

Overview

PublisherWALKERKILLER
RepositoryLook-Tongji-Notes
Skill namepage
Stars
51
Forks
7
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Page 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/WALKERKILLER/Look-Tongji-Notes/tree/main/skills/page
  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/WALKERKILLER/Look-Tongji-Notes.git /tmp/Look-Tongji-Notes
mkdir -p .claude/skills
cp -r /tmp/Look-Tongji-Notes/skills/page .claude/skills/page
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Page 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 Page 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 Page 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.

Page (GitHub Pages 部署)

将已构建的课程 wiki 静态站点部署到 GitHub Pages。

When to Use

  • User says /page or "deploy to pages" or "publish wiki".
  • After running /wiki build and the site/ directory is ready.

Workflow

1. 前置检查 A: gh CLI 已安装

bash
gh --version

如未安装,输出安装指引,引导用户访问 https://cli.github.com/ 安装。

2. 前置检查 B: gh 已认证

bash
gh auth status

如未认证,引导用户执行 gh auth login 完成 GitHub 认证。

3. 前置检查 C: site/ 已构建

检查 workspace 的 site/index.html 是否存在:

bash
ls <WORKSPACE_ROOT>/site/index.html

如 site/ 不存在或为空,引导先运行 /wiki build 构建站点。

4. 确定部署目标 repo

优先使用环境变量 GH_PAGES_REPO:

bash
echo $GH_PAGES_REPO

如果未设置,从当前 git remote 推断:

bash
git remote get-url origin

用户可在 .env 中设置 GH_PAGES_REPO=owner/repo 来指定目标仓库。

5. 部署到 gh-pages 分支

bash
gh pages deploy <WORKSPACE_ROOT>/site/ --repo <TARGET_REPO> --branch gh-pages

要求 gh CLI 版本 >= 2.29.0。

6. 输出结果

部署完成后,GitHub Pages URL 格式为 https://<owner>.github.io/<repo>/。

Requirements

  • gh CLI >= 2.29.0(安装: https://cli.github.com/)
  • 已完成 gh auth login
  • workspace 的 site/ 已通过 /wiki build 构建
  • 目标 GitHub repo 已启用 GitHub Pages

Where <SKILL_DIR> Points

<SKILL_DIR> is the directory containing this SKILL.md. The /page command uses the gh CLI directly (no shared Python scripts needed). For other skills, shared scripts (look_tongji.py, timeline_tools.py, tongji_backend/) and references live two levels up in the repository root (<SKILL_DIR>/../../scripts/ and <SKILL_DIR>/../../references/).

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 Page AI skill do?

Deploy the built course wiki site/ to GitHub Pages via gh CLI. Pre-checks gh auth status and site/ existence.

Why use Page on TypingMind?

Because you install it once and use it with any model. Page 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 Page in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WALKERKILLER/Look-Tongji-Notes/tree/main/skills/page. 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 Page?

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 Page?

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

Is the Page AI skill free?

Yes. It is published on GitHub by WALKERKILLER under the MIT license. 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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