Obsidian Git Repo Sync logo

Obsidian Git Repo Sync

Community
Yunshiro
obsidian-git-repo-sync

Sync a local directory to a GitHub remote repository. This skill should be used when the user wants to push/sync/upload their current project directory to a GitHub repository. Triggered by requests like "同步到远程仓库", "推送到GitHub", "上传到仓库", "sync to GitHub", or "push to remote".

Overview

PublisherYunshiro
Repositoryyunn-skills
Skill nameobsidian-git-repo-sync
Stars
54
Forks
17
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Obsidian Git Repo Sync 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/Yunshiro/yunn-skills/tree/main/skills/obsidian-git-repo-sync
  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/Yunshiro/yunn-skills.git /tmp/yunn-skills
mkdir -p .claude/skills
cp -r /tmp/yunn-skills/skills/obsidian-git-repo-sync .claude/skills/obsidian-git-repo-sync
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Obsidian Git Repo Sync 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 Obsidian Git Repo Sync 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 Obsidian Git Repo Sync 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.

Obsidian Git Repo Sync

Overview

Initialize a local directory as a git repository and push all contents to a specified GitHub remote. The skill guides the process step by step, starting with an environment check and then collecting the remote URL from the user.

Workflow

Step 1: Check Git Installation

Check whether git is installed on the system by running:

bash
git --version
  • If the command succeeds → proceed to Step 2.
  • If the command fails (git not found) → tell the user: "Git is not installed on this machine. Please install Git first from https://git-scm.com/ or use your system package manager (e.g., brew install git on macOS). Once installed, let me know and I'll continue." Stop here and wait for the user.

Step 2: Ask for the Remote Repository URL

Once git is confirmed installed, ask the user:

"What is your GitHub remote repository URL? (e.g., https://github.com/username/repo.git)"

Wait for the user to provide the URL before proceeding.

Step 3: Sync the Directory to the Remote

After receiving the URL, execute the following steps using the current workspace directory:

  1. Initialize git (if not already a repository):

    bash
    git init

    If the directory is already a git repository (.git exists), skip this step.

  2. Add the remote (if not already configured):

    Check existing remotes first:

    bash
    git remote -v

    If origin does not exist, add it:

    bash
    git remote add origin <REMOTE_URL>

    If origin already exists but points to a different URL, update it:

    bash
    git remote set-url origin <REMOTE_URL>
  3. Stage and commit all files:

    bash
    git add -A
    git commit -m "Initial commit"

    If there are no changes to commit, skip this step.

  4. Push to remote:

    bash
    git branch -M main
    git push -u origin main

    If the push fails, check the error message:

    • Authentication failure: Tell the user to configure git credentials (e.g., using a Personal Access Token or SSH key) and retry.
    • Remote not found: Verify the URL is correct with the user.
    • Remote has existing commits: Use git pull origin main --allow-unrelated-histories --no-rebase first to merge, then commit and push again.

Step 4: Report the Result

Tell the user what was pushed:

  • The remote URL
  • The branch name (main)
  • How many files were committed
  • A reminder: "Your local branch is now tracking origin/main. Future pushes can be done with git push directly."

Notes

  • Always use the workspace root directory (.) as the working directory for all git commands.
  • If there's a .gitignore file already present, it will be respected. If not, suggest creating one if there are files the user might not want to sync (e.g., .obsidian/, node_modules/, .env).

Frequently asked questions

What does the Obsidian Git Repo Sync AI skill do?

Sync a local directory to a GitHub remote repository. This skill should be used when the user wants to push/sync/upload their current project directory to a GitHub repository. Triggered by requests like "同步到远程仓库", "推送到GitHub", "上传到仓库", "sync to GitHub", or "push to remote".

Why use Obsidian Git Repo Sync on TypingMind?

Because you install it once and use it with any model. Obsidian Git Repo Sync 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 Obsidian Git Repo Sync in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Yunshiro/yunn-skills/tree/main/skills/obsidian-git-repo-sync. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Obsidian Git Repo Sync?

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 Obsidian Git Repo Sync?

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

Is the Obsidian Git Repo Sync AI skill free?

Yes. It is published on GitHub by Yunshiro 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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